Bump version to 1.3.0

pyproject.toml: Fix email
tests/test_api.py: Add tests for /items POST handlers
2025-05-10 23:26:02 +02:00 · 2020-10-06 21:33:38 +03:00 · 2020-10-06 18:46:31 +03:00 · 2020-10-06 16:51:53 +03:00 · 2020-10-06 15:12:13 +03:00 · 2020-10-06 15:11:12 +03:00
18 changed files with 5833 additions and 77748 deletions
--- a/.build.yml
+++ b/.build.yml
@ -1,6 +1,6 @@
 image: archlinux
 packages:
-  - python-pipenv
+  - python-poetry
  - postgresql
 sources:
  - https://git.sr.ht/~alanorth/dspace-statistics-api
@ -15,10 +15,7 @@ tasks:
      createdb -U postgres -O dspacestatistics --encoding=UNICODE dspacestatistics
      cd dspace-statistics-api
      psql -U postgres -d dspacestatistics < tests/dspacestatistics.sql
-      pipenv install --dev
+      poetry install --no-root
  - test: |
      cd dspace-statistics-api
-      pipenv run pytest
-environment:
-  PIPENV_NOSPIN: 'True'
-  PIPENV_HIDE_EMOJIS: 'True'
+      poetry run pytest
--- a/.travis.yml
+++ b/.travis.yml
@ -1,12 +1,15 @@
 dist: bionic
 language: python
 python:
-  - "3.5"
  - "3.6"
  - "3.7"
  - "3.8"
+  - "3.8-dev"  # 3.8 development branch
+jobs:
+  allow_failures:
+    - python: "3.8-dev"
 addons:
-  postgresql: "9.6"
+  postgresql: "10"
 before_script:
  - psql --version
  - createuser -U postgres dspacestatistics
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@ -4,13 +4,37 @@ 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).

+## [1.3.0] - 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 psycogpg 2.8.3, requests 2.22.0, pytest 5.3.1,
+- Run pipenv update, bringing psycopg2 2.8.4, requests 2.22.0, pytest 5.3.1,
 and gunicorn 20.0.4

 ### Changed
--- a/20
+++ b/20
@ -1,20 +0,0 @@
-[[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"
--- a/Pipfile.lock
+++ b/Pipfile.lock
@ -1,397 +0,0 @@
-{
-    "_meta": {
-        "hash": {
-            "sha256": "5e3f3e80bd92780ab66a80a83156001e50362a0d6195b1a304a15dc0c645c562"
-        },
-        "pipfile-spec": 6,
-        "requires": {
-            "python_version": "3.8"
-        },
-        "sources": [
-            {
-                "name": "pypi",
-                "url": "https://pypi.org/simple",
-                "verify_ssl": true
-            }
-        ]
-    },
-    "default": {
-        "certifi": {
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-            ],
-            "version": "==2019.9.11"
-        },
-        "chardet": {
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-                "sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691"
-            ],
-            "version": "==3.0.4"
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-        "falcon": {
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-            ],
-            "index": "pypi",
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-        "gunicorn": {
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-            "index": "pypi",
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-            "version": "==2.5.1"
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-        "pyparsing": {
-            "hashes": [
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-                "sha256:4ca62001be367f01bd3e92ecbb79070272a9d4964dce6a48a82ff0b8bc7e683a"
-            ],
-            "version": "==2.4.5"
-        },
-        "pytest": {
-            "hashes": [
-                "sha256:63344a2e3bce2e4d522fd62b4fdebb647c019f1f9e4ca075debbd13219db4418",
-                "sha256:f67403f33b2b1d25a6756184077394167fe5e2f9d8bdaab30707d19ccec35427"
-            ],
-            "index": "pypi",
-            "version": "==5.3.1"
-        },
-        "regex": {
-            "hashes": [
-                "sha256:15454b37c5a278f46f7aa2d9339bda450c300617ca2fca6558d05d870245edc7",
-                "sha256:1ad40708c255943a227e778b022c6497c129ad614bb7a2a2f916e12e8a359ee7",
-                "sha256:5e00f65cc507d13ab4dfa92c1232d004fa202c1d43a32a13940ab8a5afe2fb96",
-                "sha256:604dc563a02a74d70ae1f55208ddc9bfb6d9f470f6d1a5054c4bd5ae58744ab1",
-                "sha256:720e34a539a76a1fedcebe4397290604cc2bdf6f81eca44adb9fb2ea071c0c69",
-                "sha256:7caf47e4a9ac6ef08cabd3442cc4ca3386db141fb3c8b2a7e202d0470028e910",
-                "sha256:7faf534c1841c09d8fefa60ccde7b9903c9b528853ecf41628689793290ca143",
-                "sha256:b4e0406d822aa4993ac45072a584d57aa4931cf8288b5455bbf30c1d59dbad59",
-                "sha256:c31eaf28c6fe75ea329add0022efeed249e37861c19681960f99bbc7db981fb2",
-                "sha256:c7393597191fc2043c744db021643549061e12abe0b3ff5c429d806de7b93b66",
-                "sha256:d2b302f8cdd82c8f48e9de749d1d17f85ce9a0f082880b9a4859f66b07037dc6",
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-                "sha256:ec032cbfed59bd5a4b8eab943c310acfaaa81394e14f44454ad5c9eba4f24a74"
-            ],
-            "version": "==2019.11.1"
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-                "sha256:30f610279e8b2578cab6db20741130331735c781b56053c59c4076da27f06b66"
-            ],
-            "version": "==1.13.0"
-        },
-        "toml": {
-            "hashes": [
-                "sha256:229f81c57791a41d65e399fc06bf0848bab550a9dfd5ed66df18ce5f05e73d5c",
-                "sha256:235682dd292d5899d361a811df37e04a8828a5b1da3115886b73cf81ebc9100e"
-            ],
-            "version": "==0.10.0"
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-        "traitlets": {
-            "hashes": [
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-                "sha256:d023ee369ddd2763310e4c3eae1ff649689440d4ae59d7485eb4cfbbe3e359f7"
-            ],
-            "version": "==4.3.3"
-        },
-        "typed-ast": {
-            "hashes": [
-                "sha256:1170afa46a3799e18b4c977777ce137bb53c7485379d9706af8a59f2ea1aa161",
-                "sha256:18511a0b3e7922276346bcb47e2ef9f38fb90fd31cb9223eed42c85d1312344e",
-                "sha256:262c247a82d005e43b5b7f69aff746370538e176131c32dda9cb0f324d27141e",
-                "sha256:2b907eb046d049bcd9892e3076c7a6456c93a25bebfe554e931620c90e6a25b0",
-                "sha256:354c16e5babd09f5cb0ee000d54cfa38401d8b8891eefa878ac772f827181a3c",
-                "sha256:48e5b1e71f25cfdef98b013263a88d7145879fbb2d5185f2a0c79fa7ebbeae47",
-                "sha256:4e0b70c6fc4d010f8107726af5fd37921b666f5b31d9331f0bd24ad9a088e631",
-                "sha256:630968c5cdee51a11c05a30453f8cd65e0cc1d2ad0d9192819df9978984529f4",
-                "sha256:66480f95b8167c9c5c5c87f32cf437d585937970f3fc24386f313a4c97b44e34",
-                "sha256:71211d26ffd12d63a83e079ff258ac9d56a1376a25bc80b1cdcdf601b855b90b",
-                "sha256:7954560051331d003b4e2b3eb822d9dd2e376fa4f6d98fee32f452f52dd6ebb2",
-                "sha256:838997f4310012cf2e1ad3803bce2f3402e9ffb71ded61b5ee22617b3a7f6b6e",
-                "sha256:95bd11af7eafc16e829af2d3df510cecfd4387f6453355188342c3e79a2ec87a",
-                "sha256:bc6c7d3fa1325a0c6613512a093bc2a2a15aeec350451cbdf9e1d4bffe3e3233",
-                "sha256:cc34a6f5b426748a507dd5d1de4c1978f2eb5626d51326e43280941206c209e1",
-                "sha256:d755f03c1e4a51e9b24d899561fec4ccaf51f210d52abdf8c07ee2849b212a36",
-                "sha256:d7c45933b1bdfaf9f36c579671fec15d25b06c8398f113dab64c18ed1adda01d",
-                "sha256:d896919306dd0aa22d0132f62a1b78d11aaf4c9fc5b3410d3c666b818191630a",
-                "sha256:fdc1c9bbf79510b76408840e009ed65958feba92a88833cdceecff93ae8fff66",
-                "sha256:ffde2fbfad571af120fcbfbbc61c72469e72f550d676c3342492a9dfdefb8f12"
-            ],
-            "version": "==1.4.0"
-        },
-        "wcwidth": {
-            "hashes": [
-                "sha256:3df37372226d6e63e1b1e1eda15c594bca98a22d33a23832a90998faa96bc65e",
-                "sha256:f4ebe71925af7b40a864553f761ed559b43544f8f71746c2d756c7fe788ade7c"
-            ],
-            "version": "==0.1.7"
-        }
-    }
-}
--- a/README.md
+++ b/README.md
@ -1,7 +1,10 @@
 # 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 [REST API](https://wiki.duraspace.org/display/DSDOC5x/REST+API), for example, only exposes information about communities, collections, item metadata, and bitstreams.
+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.

-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 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:

@ -9,9 +12,9 @@ If you use the DSpace Statistics API please cite:

 ## Requirements

- Python 3.5+
+- 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.duraspace.org/display/DSDOC5x/SOLR+Statistics) (tested with 5.x)
+- DSpace with [Solr usage statistics enabled](https://wiki.lyrasis.org/display/DSDOC5x/SOLR+Statistics) (tested with 5.x)

 ## Installation
 Create a Python virtual environment and install the dependencies:
@ -78,21 +81,38 @@ 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).
-  - 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.
+  - 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.

-The item id is the *internal* id for an item. You can get these from the standard DSpace REST API.
+The item id is the *internal* UUID 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.

-## Todo
+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

 - Better logging
- Version API
+- 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
- 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
--- a/dspace_statistics_api/app.py
+++ b/dspace_statistics_api/app.py
@ -1,6 +1,8 @@
 import falcon

 from .database import DatabaseManager
+from .items import get_downloads, get_views
+from .util import validate_items_post_parameters


 class RootResource:
@ -27,11 +29,10 @@ class AllItemsResource:
                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
+                # get statistics 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
-                    )
+                    "SELECT id, views, downloads FROM items LIMIT %s OFFSET %s",
+                    [limit, offset],
                )

                # create a list to hold dicts of item stats
@ -41,7 +42,7 @@ class AllItemsResource:
                for item in cursor:
                    statistics.append(
                        {
-                            "id": item["id"],
+                            "id": str(item["id"]),
                            "views": item["views"],
                            "downloads": item["downloads"],
                        }
@ -56,31 +57,93 @@ 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 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={}".format(item_id)
+                    "SELECT views, downloads FROM items WHERE id=%s", [str(item_id)]
                )
                if cursor.rowcount == 0:
                    raise falcon.HTTPNotFound(
                        title="Item not found",
-                        description='The item with id "{}" was not found.'.format(
-                            item_id
-                        ),
+                        description=f'The item with id "{str(item_id)}" was not found.',
                    )
                else:
                    results = cursor.fetchone()

                    statistics = {
-                        "id": item_id,
+                        "id": str(item_id),
                        "views": results["views"],
                        "downloads": results["downloads"],
                    }
@ -91,6 +154,6 @@ class ItemResource:
 api = application = falcon.API()
 api.add_route("/", RootResource())
 api.add_route("/items", AllItemsResource())
-api.add_route("/item/{item_id:int}", ItemResource())
+api.add_route("/item/{item_id:uuid}", ItemResource())

 # vim: set sw=4 ts=4 expandtab:
--- a/dspace_statistics_api/database.py
+++ b/dspace_statistics_api/database.py
@ -15,9 +15,7 @@ class DatabaseManager:
    """Manage database connection."""

    def __init__(self):
-        self._connection_uri = "dbname={} user={} password={} host={} port={}".format(
-            DATABASE_NAME, DATABASE_USER, DATABASE_PASS, DATABASE_HOST, DATABASE_PORT
-        )
+        self._connection_uri = f"dbname={DATABASE_NAME} user={DATABASE_USER} password={DATABASE_PASS} host={DATABASE_HOST} port={DATABASE_PORT}"

    def __enter__(self):
        try:
--- a/dspace_statistics_api/docs/index.html
+++ b/dspace_statistics_api/docs/index.html
@ -2,7 +2,7 @@
 <html lang="en-US">
    <head>
        <meta charset="UTF-8">
-        <title>DSpace Statistics API</title>
+        <title>DSpace Statistics API v1.3.0</title>
    </head>
    <body>
        <h1>DSpace Statistics API</h1>
@ -10,11 +10,28 @@
        <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>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>
+            <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> id for an item. You can get these from the standard DSpace REST API.</p>
+        <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>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>
+        <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 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"
+	]
+}</code></pre>
+        </p>
    </body>
 </html>
--- a/dspace_statistics_api/indexer.py
+++ b/dspace_statistics_api/indexer.py
@ -21,74 +21,27 @@
 # 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 3.5+ and requires several modules that you
+# 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 SolrClient psycopg2-binary
+#   $ pip install 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
-
-
-# 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
+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.
+    # 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 = {
@ -134,9 +87,7 @@ def index_views():
            while results_current_page <= results_num_pages:
                # "pages" are zero based, but one based is more human readable
                print(
-                    "Indexing item views (page {} of {})".format(
-                        results_current_page + 1, results_num_pages + 1
-                    )
+                    f"Indexing item views (page {results_current_page + 1} of {results_num_pages + 1})"
                )

                solr_query_params = {
@ -153,8 +104,6 @@ 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)
@ -219,9 +168,7 @@ def index_downloads():
            while results_current_page <= results_num_pages:
                # "pages" are zero based, but one based is more human readable
                print(
-                    "Indexing item downloads (page {} of {})".format(
-                        results_current_page + 1, results_num_pages + 1
-                    )
+                    f"Indexing item downloads (page {results_current_page + 1} of {results_num_pages + 1})"
                )

                solr_query_params = {
@ -238,8 +185,6 @@ 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)
@ -264,7 +209,7 @@ with DatabaseManager() as db:
        # create table to store item views and downloads
        cursor.execute(
            """CREATE TABLE IF NOT EXISTS items
-                  (id INT PRIMARY KEY, views INT DEFAULT 0, downloads INT DEFAULT 0)"""
+                  (id UUID PRIMARY KEY, views INT DEFAULT 0, downloads INT DEFAULT 0)"""
        )

    # commit the table creation before closing the database connection
--- a/dspace_statistics_api/items.py
+++ b/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:
--- a/dspace_statistics_api/util.py
+++ b/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 0 and 100.',
+            )
+    else:
+        req.context.limit = 100
+
+    # Parse the page parameter from the POST request body
+    if "page" in doc:
+        if isinstance(doc["page"], int) and doc["page"] >= 0:
+            req.context.page = doc["page"]
+        else:
+            raise falcon.HTTPBadRequest(
+                title="Invalid parameter",
+                description='The "page" parameter is invalid. The value must be at least 0.',
+            )
+    else:
+        req.context.page = 0
+
+    # Parse the list of items from the POST request body
+    if "items" in doc:
+        if isinstance(doc["items"], list) and len(doc["items"]) > 0:
+            req.context.items = doc["items"]
+        else:
+            raise falcon.HTTPBadRequest(
+                title="Invalid parameter",
+                description='The "items" parameter is invalid. The value must be a comma-separated list of item UUIDs.',
+            )
+    else:
+        req.context.items = list()
--- a/poetry.lock
+++ b/poetry.lock
@ -0,0 +1,868 @@
+[[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]]
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+version = "0.1.0"
+description = "Disable App Nap on OS X 10.9"
+category = "dev"
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+python-versions = "*"
+marker = "python_version >= \"3.7\" and python_version < \"4.0\" and sys_platform == \"darwin\""
+
+[[package]]
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+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]]
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+version = "20.2.0"
+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", "sphinx", "sphinx-rtd-theme", "pre-commit"]
+docs = ["sphinx", "sphinx-rtd-theme", "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]]
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+version = "0.2.0"
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+category = "dev"
+optional = false
+python-versions = "*"
+marker = "python_version >= \"3.7\" and python_version < \"4.0\""
+
+[[package]]
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+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]
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+
+[package.dependencies.dataclasses]
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+
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+
+[[package]]
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+category = "dev"
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+marker = "python_version < \"3.7\""
+
+[[package]]
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+
+[[package]]
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+category = "main"
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+
+[[package]]
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+category = "dev"
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+
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+
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+
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+
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+
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+[package.extras]
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+
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+
+[package.extras]
+pipfile_deprecated_finder = ["pipreqs", "requirementslib"]
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+
+[[package]]
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+optional = false
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+
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+
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+
+[package.extras]
+dev = ["pre-commit", "tox"]
+
+[package.dependencies]
+[package.dependencies.importlib-metadata]
+version = ">=0.12"
+python = "<3.8"
+
+[[package]]
+name = "prompt-toolkit"
+version = "3.0.7"
+description = "Library for building powerful interactive command lines in Python"
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+    {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"},
+    {file = "typing_extensions-3.7.4.3-py3-none-any.whl", hash = "sha256:7cb407020f00f7bfc3cb3e7881628838e69d8f3fcab2f64742a5e76b2f841918"},
+    {file = "typing_extensions-3.7.4.3.tar.gz", hash = "sha256:99d4073b617d30288f569d3f13d2bd7548c3a7e4c8de87db09a9d29bb3a4a60c"},
+]
+urllib3 = [
+    {file = "urllib3-1.25.10-py2.py3-none-any.whl", hash = "sha256:e7983572181f5e1522d9c98453462384ee92a0be7fac5f1413a1e35c56cc0461"},
+    {file = "urllib3-1.25.10.tar.gz", hash = "sha256:91056c15fa70756691db97756772bb1eb9678fa585d9184f24534b100dc60f4a"},
+]
+wcwidth = [
+    {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
+    {file = "wcwidth-0.2.5.tar.gz", hash = "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"},
+]
+zipp = [
+    {file = "zipp-3.3.0-py3-none-any.whl", hash = "sha256:eed8ec0b8d1416b2ca33516a37a08892442f3954dee131e92cfd92d8fe3e7066"},
+    {file = "zipp-3.3.0.tar.gz", hash = "sha256:64ad89efee774d1897a58607895d80789c59778ea02185dd846ac38394a8642b"},
+]
--- a/pyproject.toml
+++ b/pyproject.toml
@ -0,0 +1,25 @@
+[tool.poetry]
+name = "dspace-statistics-api"
+version = "1.3.0"
+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"
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@ -1,27 +1,231 @@
-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
+appdirs==1.4.4 \
+    --hash=sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128 \
+    --hash=sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41
+appnope==0.1.0; python_version >= "3.7" and python_version < "4.0" and sys_platform == "darwin" \
+    --hash=sha256:5b26757dc6f79a3b7dc9fab95359328d5747fcb2409d331ea66d0272b90ab2a0 \
+    --hash=sha256:8b995ffe925347a2138d7ac0fe77155e4311a0ea6d6da4f5128fe4b3cbe5ed71
+atomicwrites==1.4.0; sys_platform == "win32" \
+    --hash=sha256:6d1784dea7c0c8d4a5172b6c620f40b6e4cbfdf96d783691f2e1302a7b88e197 \
+    --hash=sha256:ae70396ad1a434f9c7046fd2dd196fc04b12f9e91ffb859164193be8b6168a7a
+attrs==20.2.0 \
+    --hash=sha256:fce7fc47dfc976152e82d53ff92fa0407700c21acd20886a13777a0d20e655dc \
+    --hash=sha256:26b54ddbbb9ee1d34d5d3668dd37d6cf74990ab23c828c2888dccdceee395594
+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==2020.6.20 \
+    --hash=sha256:8fc0819f1f30ba15bdb34cceffb9ef04d99f420f68eb75d901e9560b8749fc41 \
+    --hash=sha256:5930595817496dd21bb8dc35dad090f1c2cd0adfaf21204bf6732ca5d8ee34d3
+chardet==3.0.4 \
+    --hash=sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691 \
+    --hash=sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae
+click==7.1.2 \
+    --hash=sha256:dacca89f4bfadd5de3d7489b7c8a566eee0d3676333fbb50030263894c38c0dc \
+    --hash=sha256:d2b5255c7c6349bc1bd1e59e08cd12acbbd63ce649f2588755783aa94dfb6b1a
+colorama==0.4.3; python_version >= "3.7" and python_version < "4.0" and sys_platform == "win32" or sys_platform == "win32" \
+    --hash=sha256:7d73d2a99753107a36ac6b455ee49046802e59d9d076ef8e47b61499fa29afff \
+    --hash=sha256:e96da0d330793e2cb9485e9ddfd918d456036c7149416295932478192f4436a1
+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 \
+    --hash=sha256:733033ec80c896e30a43ab3e776856096836787197a44eb21022320a61311983 \
+    --hash=sha256:f93351459f110b4c1ee28556aef9a791832df6f910bea7b3f616109d534df06b \
+    --hash=sha256:e9efa0791b5d9f9dd9689015ea6bce0a27fcd5ecbcd30e6d940bffa4f7f03389 \
+    --hash=sha256:59d1e8c993b9a37ea06df9d72cf907a46cc8063b30717cdac2f34d1658b6f936 \
+    --hash=sha256:a5ebb22a04c9cc65081938ee7651b4e3b4d2a28522ea8ec04c7bdd2b3e9e8cd8 \
+    --hash=sha256:95bf6ce986c1119aef12c9b348f4dee9c6dcc58391bdd0bc2b0bf353c2b15986 \
+    --hash=sha256:aa184895d1ad4573fbfaaf803563d02f019ebdf4790e41cc568a330607eae439 \
+    --hash=sha256:74cf1d18207381c665b9e6292d65100ce146d958707793174b03869dc6e614f4 \
+    --hash=sha256:24adcd2b29a8ffa9d552dc79638cd21736a3fb04eda7d102c6cebafdaadb88ad \
+    --hash=sha256:18157af2a4fc3feedf2b5dcc6196f448639acf01c68bc33d4d5a04c3ef87f494 \
+    --hash=sha256:e3782b7b92fefd46a6ad1fd8fe63fe6c6f1b7740a95ca56957f48d1aee34b357 \
+    --hash=sha256:9712975adcf8c6e12876239085ad757b8fdeba223d46d23daef82b47658f83a9 \
+    --hash=sha256:54f2cb4b687035b2a03206dbfc538055cc48b59a953187b0458aa1b574d47b53 \
+    --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==2.0.0; python_version < "3.8" \
+    --hash=sha256:cefa1a2f919b866c5beb7c9f7b0ebb4061f30a8a9bf16d609b000e2dfaceb9c3 \
+    --hash=sha256:77a540690e24b0305878c37ffd421785a6f7e53c8b5720d211b211de8d0e95da
+iniconfig==1.0.1 \
+    --hash=sha256:80cf40c597eb564e86346103f609d74efce0f6b4d4f30ec8ce9e2c26411ba437 \
+    --hash=sha256:e5f92f89355a67de0595932a6c6c02ab4afddc6fcdc0bfc5becd0d60884d3f69
+ipython==7.18.1; python_version >= "3.7" and python_version < "4.0" \
+    --hash=sha256:2e22c1f74477b5106a6fb301c342ab8c64bb75d702e350f05a649e8cb40a0fb8 \
+    --hash=sha256:a331e78086001931de9424940699691ad49dfb457cea31f5471eae7b78222d5e
+ipython-genutils==0.2.0; python_version >= "3.7" and python_version < "4.0" \
+    --hash=sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8 \
+    --hash=sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8
+isort==5.5.4 \
+    --hash=sha256:36f0c6659b9000597e92618d05b72d4181104cf59472b1c6a039e3783f930c95 \
+    --hash=sha256:ba040c24d20aa302f78f4747df549573ae1eaf8e1084269199154da9c483f07f
+jedi==0.17.2; python_version >= "3.7" and python_version < "4.0" \
+    --hash=sha256:98cc583fa0f2f8304968199b01b6b4b94f469a1f4a74c1560506ca2a211378b5 \
+    --hash=sha256:86ed7d9b750603e4ba582ea8edc678657fb4007894a12bcf6f4bb97892f31d20
+mccabe==0.6.1 \
+    --hash=sha256:ab8a6258860da4b6677da4bd2fe5dc2c659cff31b3ee4f7f5d64e79735b80d42 \
+    --hash=sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f
+mypy-extensions==0.4.3 \
+    --hash=sha256:090fedd75945a69ae91ce1303b5824f428daf5a028d2f6ab8a299250a846f15d \
+    --hash=sha256:2d82818f5bb3e369420cb3c4060a7970edba416647068eb4c5343488a6c604a8
+packaging==20.4 \
+    --hash=sha256:998416ba6962ae7fbd6596850b80e17859a5753ba17c32284f67bfff33784181 \
+    --hash=sha256:4357f74f47b9c12db93624a82154e9b120fa8293699949152b22065d556079f8
+parso==0.7.1; python_version >= "3.7" and python_version < "4.0" \
+    --hash=sha256:97218d9159b2520ff45eb78028ba8b50d2bc61dcc062a9682666f2dc4bd331ea \
+    --hash=sha256:caba44724b994a8a5e086460bb212abc5a8bc46951bf4a9a1210745953622eb9
+pathspec==0.8.0 \
+    --hash=sha256:7d91249d21749788d07a2d0f94147accd8f845507400749ea19c1ec9054a12b0 \
+    --hash=sha256:da45173eb3a6f2a5a487efba21f050af2b41948be6ab52b6a1e3ff22bb8b7061
+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 \
+    --hash=sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d \
+    --hash=sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0
+prompt-toolkit==3.0.7; python_version >= "3.7" and python_version < "4.0" \
+    --hash=sha256:83074ee28ad4ba6af190593d4d4c607ff525272a504eb159199b6dd9f950c950 \
+    --hash=sha256:822f4605f28f7d2ba6b0b09a31e25e140871e96364d1d377667b547bb3bf4489
+psycopg2-binary==2.8.6 \
+    --hash=sha256:11b9c0ebce097180129e422379b824ae21c8f2a6596b159c7659e2e5a00e1aa0 \
+    --hash=sha256:d14b140a4439d816e3b1229a4a525df917d6ea22a0771a2a78332273fd9528a4 \
+    --hash=sha256:1fabed9ea2acc4efe4671b92c669a213db744d2af8a9fc5d69a8e9bc14b7a9db \
+    --hash=sha256:f5ab93a2cb2d8338b1674be43b442a7f544a0971da062a5da774ed40587f18f5 \
+    --hash=sha256:b4afc542c0ac0db720cf516dd20c0846f71c248d2b3d21013aa0d4ef9c71ca25 \
+    --hash=sha256:e74a55f6bad0e7d3968399deb50f61f4db1926acf4a6d83beaaa7df986f48b1c \
+    --hash=sha256:0deac2af1a587ae12836aa07970f5cb91964f05a7c6cdb69d8425ff4c15d4e2c \
+    --hash=sha256:ad20d2eb875aaa1ea6d0f2916949f5c08a19c74d05b16ce6ebf6d24f2c9f75d1 \
+    --hash=sha256:950bc22bb56ee6ff142a2cb9ee980b571dd0912b0334aa3fe0fe3788d860bea2 \
+    --hash=sha256:b8a3715b3c4e604bcc94c90a825cd7f5635417453b253499664f784fc4da0152 \
+    --hash=sha256:d1b4ab59e02d9008efe10ceabd0b31e79519da6fb67f7d8e8977118832d0f449 \
+    --hash=sha256:ac0c682111fbf404525dfc0f18a8b5f11be52657d4f96e9fcb75daf4f3984859 \
+    --hash=sha256:7d92a09b788cbb1aec325af5fcba9fed7203897bbd9269d5691bb1e3bce29550 \
+    --hash=sha256:aaa4213c862f0ef00022751161df35804127b78adf4a2755b9f991a507e425fd \
+    --hash=sha256:c2507d796fca339c8fb03216364cca68d87e037c1f774977c8fc377627d01c71 \
+    --hash=sha256:ee69dad2c7155756ad114c02db06002f4cded41132cc51378e57aad79cc8e4f4 \
+    --hash=sha256:e82aba2188b9ba309fd8e271702bd0d0fc9148ae3150532bbb474f4590039ffb \
+    --hash=sha256:d5227b229005a696cc67676e24c214740efd90b148de5733419ac9aaba3773da \
+    --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
+ptyprocess==0.6.0; python_version >= "3.7" and python_version < "4.0" and sys_platform != "win32" \
+    --hash=sha256:d7cc528d76e76342423ca640335bd3633420dc1366f258cb31d05e865ef5ca1f \
+    --hash=sha256:923f299cc5ad920c68f2bc0bc98b75b9f838b93b599941a6b63ddbc2476394c0
+py==1.9.0 \
+    --hash=sha256:366389d1db726cd2fcfc79732e75410e5fe4d31db13692115529d34069a043c2 \
+    --hash=sha256:9ca6883ce56b4e8da7e79ac18787889fa5206c79dcc67fb065376cd2fe03f342
+pycodestyle==2.6.0 \
+    --hash=sha256:2295e7b2f6b5bd100585ebcb1f616591b652db8a741695b3d8f5d28bdc934367 \
+    --hash=sha256:c58a7d2815e0e8d7972bf1803331fb0152f867bd89adf8a01dfd55085434192e
+pyflakes==2.2.0 \
+    --hash=sha256:0d94e0e05a19e57a99444b6ddcf9a6eb2e5c68d3ca1e98e90707af8152c90a92 \
+    --hash=sha256:35b2d75ee967ea93b55750aa9edbbf72813e06a66ba54438df2cfac9e3c27fc8
+pygments==2.7.1; python_version >= "3.7" and python_version < "4.0" \
+    --hash=sha256:307543fe65c0947b126e83dd5a61bd8acbd84abec11f43caebaf5534cbc17998 \
+    --hash=sha256:926c3f319eda178d1bd90851e4317e6d8cdb5e292a3386aac9bd75eca29cf9c7
+pyparsing==2.4.7 \
+    --hash=sha256:ef9d7589ef3c200abe66653d3f1ab1033c3c419ae9b9bdb1240a85b024efc88b \
+    --hash=sha256:c203ec8783bf771a155b207279b9bccb8dea02d8f0c9e5f8ead507bc3246ecc1
+pytest==6.1.1 \
+    --hash=sha256:7a8190790c17d79a11f847fba0b004ee9a8122582ebff4729a082c109e81a4c9 \
+    --hash=sha256:8f593023c1a0f916110285b6efd7f99db07d59546e3d8c36fc60e2ab05d3be92
+pytest-clarity==0.3.0a0 \
+    --hash=sha256:5cc99e3d9b7969dfe17e5f6072d45a917c59d363b679686d3c958a1ded2e4dcf
+regex==2020.9.27 \
+    --hash=sha256:d23a18037313714fb3bb5a94434d3151ee4300bae631894b1ac08111abeaa4a3 \
+    --hash=sha256:84e9407db1b2eb368b7ecc283121b5e592c9aaedbe8c78b1a2f1102eb2e21d19 \
+    --hash=sha256:5f18875ac23d9aa2f060838e8b79093e8bb2313dbaaa9f54c6d8e52a5df097be \
+    --hash=sha256:ae91972f8ac958039920ef6e8769277c084971a142ce2b660691793ae44aae6b \
+    --hash=sha256:9a02d0ae31d35e1ec12a4ea4d4cca990800f66a917d0fb997b20fbc13f5321fc \
+    --hash=sha256:ebbe29186a3d9b0c591e71b7393f1ae08c83cb2d8e517d2a822b8f7ec99dfd8b \
+    --hash=sha256:4707f3695b34335afdfb09be3802c87fa0bc27030471dbc082f815f23688bc63 \
+    --hash=sha256:9bc13e0d20b97ffb07821aa3e113f9998e84994fe4d159ffa3d3a9d1b805043b \
+    --hash=sha256:f1b3afc574a3db3b25c89161059d857bd4909a1269b0b3cb3c904677c8c4a3f7 \
+    --hash=sha256:5533a959a1748a5c042a6da71fe9267a908e21eded7a4f373efd23a2cbdb0ecc \
+    --hash=sha256:1fe0a41437bbd06063aa184c34804efa886bcc128222e9916310c92cd54c3b4c \
+    --hash=sha256:c570f6fa14b9c4c8a4924aaad354652366577b4f98213cf76305067144f7b100 \
+    --hash=sha256:eda4771e0ace7f67f58bc5b560e27fb20f32a148cbc993b0c3835970935c2707 \
+    --hash=sha256:60b0e9e6dc45683e569ec37c55ac20c582973841927a85f2d8a7d20ee80216ab \
+    --hash=sha256:088afc8c63e7bd187a3c70a94b9e50ab3f17e1d3f52a32750b5b77dbe99ef5ef \
+    --hash=sha256:eaf548d117b6737df379fdd53bdde4f08870e66d7ea653e230477f071f861121 \
+    --hash=sha256:41bb65f54bba392643557e617316d0d899ed5b4946dccee1cb6696152b29844b \
+    --hash=sha256:8d69cef61fa50c8133382e61fd97439de1ae623fe943578e477e76a9d9471637 \
+    --hash=sha256:f2388013e68e750eaa16ccbea62d4130180c26abb1d8e5d584b9baf69672b30f \
+    --hash=sha256:4318d56bccfe7d43e5addb272406ade7a2274da4b70eb15922a071c58ab0108c \
+    --hash=sha256:a6f32aea4260dfe0e55dc9733ea162ea38f0ea86aa7d0f77b15beac5bf7b369d
+requests==2.24.0 \
+    --hash=sha256:fe75cc94a9443b9246fc7049224f75604b113c36acb93f87b80ed42c44cbb898 \
+    --hash=sha256:b3559a131db72c33ee969480840fff4bb6dd111de7dd27c8ee1f820f4f00231b
+six==1.15.0 \
+    --hash=sha256:8b74bedcbbbaca38ff6d7491d76f2b06b3592611af620f8426e82dddb04a5ced \
+    --hash=sha256:30639c035cdb23534cd4aa2dd52c3bf48f06e5f4a941509c8bafd8ce11080259
+termcolor==1.1.0 \
+    --hash=sha256:1d6d69ce66211143803fbc56652b41d73b4a400a2891d7bf7a1cdf4c02de613b
+toml==0.10.1 \
+    --hash=sha256:bda89d5935c2eac546d648028b9901107a595863cb36bae0c73ac804a9b4ce88 \
+    --hash=sha256:926b612be1e5ce0634a2ca03470f95169cf16f939018233a670519cb4ac58b0f
+traitlets==5.0.4; python_version >= "3.7" and python_version < "4.0" \
+    --hash=sha256:9664ec0c526e48e7b47b7d14cd6b252efa03e0129011de0a9c1d70315d4309c3 \
+    --hash=sha256:86c9351f94f95de9db8a04ad8e892da299a088a64fd283f9f6f18770ae5eae1b
+typed-ast==1.4.1 \
+    --hash=sha256:73d785a950fc82dd2a25897d525d003f6378d1cb23ab305578394694202a58c3 \
+    --hash=sha256:aaee9905aee35ba5905cfb3c62f3e83b3bec7b39413f0a7f19be4e547ea01ebb \
+    --hash=sha256:0c2c07682d61a629b68433afb159376e24e5b2fd4641d35424e462169c0a7919 \
+    --hash=sha256:4083861b0aa07990b619bd7ddc365eb7fa4b817e99cf5f8d9cf21a42780f6e01 \
+    --hash=sha256:269151951236b0f9a6f04015a9004084a5ab0d5f19b57de779f908621e7d8b75 \
+    --hash=sha256:24995c843eb0ad11a4527b026b4dde3da70e1f2d8806c99b7b4a7cf491612652 \
+    --hash=sha256:fe460b922ec15dd205595c9b5b99e2f056fd98ae8f9f56b888e7a17dc2b757e7 \
+    --hash=sha256:4e3e5da80ccbebfff202a67bf900d081906c358ccc3d5e3c8aea42fdfdfd51c1 \
+    --hash=sha256:249862707802d40f7f29f6e1aad8d84b5aa9e44552d2cc17384b209f091276aa \
+    --hash=sha256:8ce678dbaf790dbdb3eba24056d5364fb45944f33553dd5869b7580cdbb83614 \
+    --hash=sha256:c9e348e02e4d2b4a8b2eedb48210430658df6951fa484e59de33ff773fbd4b41 \
+    --hash=sha256:bcd3b13b56ea479b3650b82cabd6b5343a625b0ced5429e4ccad28a8973f301b \
+    --hash=sha256:d5d33e9e7af3b34a40dc05f498939f0ebf187f07c385fd58d591c533ad8562fe \
+    --hash=sha256:0666aa36131496aed8f7be0410ff974562ab7eeac11ef351def9ea6fa28f6355 \
+    --hash=sha256:d205b1b46085271b4e15f670058ce182bd1199e56b317bf2ec004b6a44f911f6 \
+    --hash=sha256:6daac9731f172c2a22ade6ed0c00197ee7cc1221aa84cfdf9c31defeb059a907 \
+    --hash=sha256:498b0f36cc7054c1fead3d7fc59d2150f4d5c6c56ba7fb150c013fbc683a8d2d \
+    --hash=sha256:715ff2f2df46121071622063fc7543d9b1fd19ebfc4f5c8895af64a77a8c852c \
+    --hash=sha256:fc0fea399acb12edbf8a628ba8d2312f583bdbdb3335635db062fa98cf71fca4 \
+    --hash=sha256:d43943ef777f9a1c42bf4e552ba23ac77a6351de620aa9acf64ad54933ad4d34 \
+    --hash=sha256:8c8aaad94455178e3187ab22c8b01a3837f8ee50e09cf31f1ba129eb293ec30b
+typing-extensions==3.7.4.3 \
+    --hash=sha256:dafc7639cde7f1b6e1acc0f457842a83e722ccca8eef5270af2d74792619a89f \
+    --hash=sha256:7cb407020f00f7bfc3cb3e7881628838e69d8f3fcab2f64742a5e76b2f841918 \
+    --hash=sha256:99d4073b617d30288f569d3f13d2bd7548c3a7e4c8de87db09a9d29bb3a4a60c
+urllib3==1.25.10 \
+    --hash=sha256:e7983572181f5e1522d9c98453462384ee92a0be7fac5f1413a1e35c56cc0461 \
+    --hash=sha256:91056c15fa70756691db97756772bb1eb9678fa585d9184f24534b100dc60f4a
+wcwidth==0.2.5; python_version >= "3.7" and python_version < "4.0" \
+    --hash=sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784 \
+    --hash=sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83
+zipp==3.3.0; python_version < "3.8" \
+    --hash=sha256:eed8ec0b8d1416b2ca33516a37a08892442f3954dee131e92cfd92d8fe3e7066 \
+    --hash=sha256:64ad89efee774d1897a58607895d80789c59778ea02185dd846ac38394a8642b
--- a/requirements.txt
+++ b/requirements.txt
@ -1,9 +1,66 @@
-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
+certifi==2020.6.20 \
+    --hash=sha256:8fc0819f1f30ba15bdb34cceffb9ef04d99f420f68eb75d901e9560b8749fc41 \
+    --hash=sha256:5930595817496dd21bb8dc35dad090f1c2cd0adfaf21204bf6732ca5d8ee34d3
+chardet==3.0.4 \
+    --hash=sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691 \
+    --hash=sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae
+falcon==2.0.0 \
+    --hash=sha256:733033ec80c896e30a43ab3e776856096836787197a44eb21022320a61311983 \
+    --hash=sha256:f93351459f110b4c1ee28556aef9a791832df6f910bea7b3f616109d534df06b \
+    --hash=sha256:e9efa0791b5d9f9dd9689015ea6bce0a27fcd5ecbcd30e6d940bffa4f7f03389 \
+    --hash=sha256:59d1e8c993b9a37ea06df9d72cf907a46cc8063b30717cdac2f34d1658b6f936 \
+    --hash=sha256:a5ebb22a04c9cc65081938ee7651b4e3b4d2a28522ea8ec04c7bdd2b3e9e8cd8 \
+    --hash=sha256:95bf6ce986c1119aef12c9b348f4dee9c6dcc58391bdd0bc2b0bf353c2b15986 \
+    --hash=sha256:aa184895d1ad4573fbfaaf803563d02f019ebdf4790e41cc568a330607eae439 \
+    --hash=sha256:74cf1d18207381c665b9e6292d65100ce146d958707793174b03869dc6e614f4 \
+    --hash=sha256:24adcd2b29a8ffa9d552dc79638cd21736a3fb04eda7d102c6cebafdaadb88ad \
+    --hash=sha256:18157af2a4fc3feedf2b5dcc6196f448639acf01c68bc33d4d5a04c3ef87f494 \
+    --hash=sha256:e3782b7b92fefd46a6ad1fd8fe63fe6c6f1b7740a95ca56957f48d1aee34b357 \
+    --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 \
+    --hash=sha256:1fabed9ea2acc4efe4671b92c669a213db744d2af8a9fc5d69a8e9bc14b7a9db \
+    --hash=sha256:f5ab93a2cb2d8338b1674be43b442a7f544a0971da062a5da774ed40587f18f5 \
+    --hash=sha256:b4afc542c0ac0db720cf516dd20c0846f71c248d2b3d21013aa0d4ef9c71ca25 \
+    --hash=sha256:e74a55f6bad0e7d3968399deb50f61f4db1926acf4a6d83beaaa7df986f48b1c \
+    --hash=sha256:0deac2af1a587ae12836aa07970f5cb91964f05a7c6cdb69d8425ff4c15d4e2c \
+    --hash=sha256:ad20d2eb875aaa1ea6d0f2916949f5c08a19c74d05b16ce6ebf6d24f2c9f75d1 \
+    --hash=sha256:950bc22bb56ee6ff142a2cb9ee980b571dd0912b0334aa3fe0fe3788d860bea2 \
+    --hash=sha256:b8a3715b3c4e604bcc94c90a825cd7f5635417453b253499664f784fc4da0152 \
+    --hash=sha256:d1b4ab59e02d9008efe10ceabd0b31e79519da6fb67f7d8e8977118832d0f449 \
+    --hash=sha256:ac0c682111fbf404525dfc0f18a8b5f11be52657d4f96e9fcb75daf4f3984859 \
+    --hash=sha256:7d92a09b788cbb1aec325af5fcba9fed7203897bbd9269d5691bb1e3bce29550 \
+    --hash=sha256:aaa4213c862f0ef00022751161df35804127b78adf4a2755b9f991a507e425fd \
+    --hash=sha256:c2507d796fca339c8fb03216364cca68d87e037c1f774977c8fc377627d01c71 \
+    --hash=sha256:ee69dad2c7155756ad114c02db06002f4cded41132cc51378e57aad79cc8e4f4 \
+    --hash=sha256:e82aba2188b9ba309fd8e271702bd0d0fc9148ae3150532bbb474f4590039ffb \
+    --hash=sha256:d5227b229005a696cc67676e24c214740efd90b148de5733419ac9aaba3773da \
+    --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==2.24.0 \
+    --hash=sha256:fe75cc94a9443b9246fc7049224f75604b113c36acb93f87b80ed42c44cbb898 \
+    --hash=sha256:b3559a131db72c33ee969480840fff4bb6dd111de7dd27c8ee1f820f4f00231b
+urllib3==1.25.10 \
+    --hash=sha256:e7983572181f5e1522d9c98453462384ee92a0be7fac5f1413a1e35c56cc0461 \
+    --hash=sha256:91056c15fa70756691db97756772bb1eb9678fa585d9184f24534b100dc60f4a
--- a/tests/dspacestatistics.sql
+++ b/tests/dspacestatistics.sql
--- a/tests/test_api.py
+++ b/tests/test_api.py
@ -1,6 +1,7 @@
 from falcon import testing
 import json
 import pytest
+from unittest.mock import patch

 from dspace_statistics_api.app import api

@ -11,57 +12,371 @@ 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/17')
+    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'], int)
-    assert isinstance(response_doc['views'], int)
+    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.'''
+    """Test requesting a single non-existing item."""

-    response = client.simulate_get('/item/1')
+    response = client.simulate_get("/item/c3910974-c3a5-4053-9dce-104aa7bb1620")

    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')
+    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
Author	SHA1	Message	Date
Alan Orth	4e9064329d	Bump version to 1.3.0	2020-10-06 21:33:38 +03:00
Alan Orth	4958d5d2e9	pyproject.toml: Fix email	2020-10-06 18:46:31 +03:00
Alan Orth	923ed0a434	tests/test_api.py: Add tests for /items POST handlers This adds tests for the new /items POST handler, both with mocked data and a live connection to a Solr statistics core. Tests that only work when Solr is available are marked with XFAIL so that they don't turn the whole test suite red. In each test I try to assert as many parameters as we can know for each response so that we cover all expectations. For example, when we test a valid limit parameter we should test whether the response not only has the same limit parameter, but that the number of items has actually been limited and the number of pages has been adjusted accordingly. See: https://docs.pytest.org/en/stable/skipping.html	2020-10-06 16:51:53 +03:00
Alan Orth	5acd927210	dspace_statistics_api: Sort imports with isort	2020-10-06 15:12:13 +03:00
Alan Orth	630fa0d5fb	dspace_statistics_api/util.py: Fix f-strings flake8 raised this warning: F541 f-string is missing placeholders	2020-10-06 15:11:12 +03:00
Alan Orth	58d2b8d4ed	dspace_statistics_api/items.py: Move util import Move util import from global scope because it causes tests to fail. We don't need the set up the Solr connection unless we're actually trying to use the get_views and get_downloads methods, either when running the API in production or during tests where the connection has been set up.	2020-10-06 15:07:00 +03:00
Alan Orth	e6572d9469	.build.yml: Use poetry instead of pipenv	2020-10-05 22:37:42 +03:00
Alan Orth	85fca81611	Update requirements Generated with poetry export: $ poetry export -f requirements.txt > requirements.txt $ poetry export --dev -f requirements.txt > requirements-dev.txt	2020-10-05 22:33:27 +03:00
Alan Orth	c81a8d03d7	Remove pipenv configuration I was having issues with re-creating an environment from scratch: ModuleNotFoundError: No module named 'virtualenv.seed.via_app_data' Switching to Poetry for now.	2020-10-05 22:32:01 +03:00
Alan Orth	2923a3b325	Add Poetry configuration I was having some problems with pipenv when trying to install a clean environment: ModuleNotFoundError: No module named 'virtualenv.seed.via_app_data'	2020-10-05 22:30:35 +03:00
Alan Orth	d4518d62ad	dspace_statistics_api/app.py: Refactor for testability I thought it was clever to only import these in the on_post handler because they aren't needed elsewhere, but it turns out that this is not a common pattern and even causes problems with testability. First, if the imports are at the top of the file as PEP8 recommends, then the WSGI server will import them once when it loads the app and they remain in memory for the lifecycle of the app. If the imports are in the on_post handler they would be re-imported on every request! Second, this pattern of importing in a method makes it tricky to use object patching in mocks. See: https://www.python.org/dev/peps/pep-0008/#imports	2020-10-05 20:43:50 +03:00
Alan Orth	3a98de78e3	dspace_statistics_api/items.py: Remove executable bit We don't need to execute this on the command line.	2020-10-05 14:33:36 +03:00
Alan Orth	b26439daf3	CHANGELOG.md: Add note about Python dependencies	2020-09-27 11:16:37 +03:00
Alan Orth	9e898ba54f	Update requirements Generated from pipenv with: $ pipenv lock -r > requirements.txt $ pipenv lock -r -d > requirements-dev.txt	2020-09-27 11:13:38 +03:00
Alan Orth	716d65030c	Pipfile.lock: Run pipenv update	2020-09-27 11:13:04 +03:00
Alan Orth	5a53b57b3b	Refactor `/items` POST handler to use a before hook This allows us to do the dirty work of parsing, validating, and setting local variables from the POST parameters outside of the on_post function. We then share the parameters via the req.context object. Functionally it is the same, but readability is better and it's a neat trick that I could use elsewhere. See: https://falcon.readthedocs.io/en/stable/user/faq.html#how-can-i-pass-data-from-a-hook-to-a-responder-and-between-hooks	2020-09-26 18:40:52 +03:00
Alan Orth	3ceb9a6eb0	dspace_statistics_api/items.py: Fix flake8 warning According to flake8 we need to use a different syntax for strings with backslash escape sequences: > As of Python 3.6, a backslash-character pair that is not a valid > escape sequence now generates a DeprecationWarning. This will > eventually become a SyntaxError. The warning was: W605 invalid escape sequence '\-' See: https://www.flake8rules.com/rules/W605.html	2020-09-26 12:22:06 +03:00
Alan Orth	946f0749e2	dspace_statistics_api/app.py: Use bounded_stream in on_post For reasons I don't quite understand, we need to use bounded_stream in the on_post request handler in order to use simulate_post() with the testing client in Falcon 2.0.0. Normal runtime operation via gunicorn does not have any issues with stream. See: https://github.com/falconry/falcon/issues/1720 See: https://github.com/falconry/falcon/issues/1554	2020-09-26 11:50:57 +03:00
Alan Orth	b06651d1ec	dspace_statistics_api/indexer.py: Fix Python comment	2020-09-25 13:35:05 +03:00
Alan Orth	a0ee181361	dspace_statistics_api/docs/index.html: Fix whitespace	2020-09-25 13:33:45 +03:00
Alan Orth	f58c209609	dspace_statistics_api/indexer.py: Update comment I don't remember why we needed the stats, but it seems that it was because without them there is no way to know how many results were returned and therefore no way to know how many pages we'll need to iterate over. Having the total number allows us to use a limit and and offset to page through them deterministically.	2020-09-25 13:25:34 +03:00
Alan Orth	6dbff1e78f	README.md: Capitalize UUID	2020-09-25 13:03:15 +03:00
Alan Orth	731226ec15	README.md: Update for POST /items functionality	2020-09-25 13:01:09 +03:00
Alan Orth	2201d3df4e	dspace_statistics_api/docs/index.html: Minor HTML syntax issue	2020-09-25 12:55:39 +03:00
Alan Orth	2c0436f845	Update API docs HTML for /items POST functionality	2020-09-25 12:53:30 +03:00
Alan Orth	f1e939481b	dspace_statistics_api/items.py: Remove shebang This was originally a standalone script I was testing interactively.	2020-09-25 12:39:00 +03:00
Alan Orth	4d8026a3d0	Add missing dspace_statistics_api/items.py This was meant to be added with the new /items POST changes.	2020-09-25 12:30:06 +03:00
Alan Orth	de1f462ad2	CHANGELOG.md: Add more notes about /items	2020-09-25 12:29:19 +03:00
Alan Orth	8a6bbfd527	CHANGELOG.md: Add note about /items	2020-09-25 12:27:33 +03:00
Alan Orth	73c71fa8a0	dspace_statistics_api: Add support for date ranges to /items You can now POST a JSON request to /items with a list of items and a date range. This allows the possibility to get view and download statistics for arbitrary items and arbitrary date ranges. The JSON request should be in the following format: { "limit": 100, "page": 0, "dateFrom": "2020-01-01T00:00:00Z", "dateTo": "2020-09-09T00:00:00Z", "items": [ "f44cf173-2344-4eb2-8f00-ee55df32c76f", "2324aa41-e9de-4a2b-bc36-16241464683e", "8542f9da-9ce1-4614-abf4-f2e3fdb4b305", "0fe573e7-042a-4240-a4d9-753b61233908" ] } The limit, page, and date parameters are all optional. By default it will use a limit of 100, page 0, and [* TO *] Solr date range.	2020-09-25 12:21:11 +03:00
Alan Orth	7a5e14716d	CHANGELOG.md: Add note about indexer refactoring	2020-09-24 12:08:21 +03:00
Alan Orth	21b500b4f7	dspace_statistics_api/util.py: Use docstring for get_statistics_shards It seems better to use a docstring instead of a comment because it can potentially be used by IDEs or documentation generators.	2020-09-24 12:07:31 +03:00
Alan Orth	495386856b	Refactor indexer Move the get_statistics_shards() method to a utility module so it can be used by other things.	2020-09-24 12:03:12 +03:00
Alan Orth	8e87f80e9a	dspace_statistics_api/indexer.py: Remove duplicate solr_url variable This is declared twice and it never changes.	2020-09-24 11:54:31 +03:00
Alan Orth	c4bf8bf698	README.md: Add TODO note about sorting by views or downloads	2020-09-24 11:53:23 +03:00
Alan Orth	6ff95bb5f2	dspace_statistics_api/indexer.py: Remove SolrClient reference We stopped using SolrClient in favor of vanilla requests.	2020-09-24 11:30:31 +03:00
Alan Orth	0c8fb21f80	README.md: Update DSpace wiki URLs	2020-04-13 15:25:17 +03:00
Alan Orth	b359c2466f	.travis.yml: Don't build in a container I didn't realize these LXD containers are not available on AMD64. Now I understand why the build was so slow: because it was ARM64!	2020-03-29 16:36:47 +03:00
Alan Orth	0eaed3e8c4	.travis.yml: Use Python 3.8-dev instead of master See: https://docs.travis-ci.com/user/languages/python/#specifying-python-versions	2020-03-29 16:26:57 +03:00
Alan Orth	70e96214c8	.travis.yml: Go→Python Fix incorrect language.	2020-03-29 16:24:39 +03:00
Alan Orth	cab9f16dbc	.travis.yml: Try to run in an LXD container According to the build environment documentation we need to specify an OS of Linux in order to get a container instead of a VM. See: https://docs.travis-ci.com/user/reference/overview/	2020-03-29 16:24:00 +03:00
Alan Orth	bd49e1d1f6	.travis.yml: Correctly specify PostgreSQL 10 See: https://docs.travis-ci.com/user/database-setup/#postgresql	2020-03-29 16:19:08 +03:00
Alan Orth	144ed9a7c4	.travis.yml: Use PostgreSQL 10.0 Production is still PostgreSQL 9.6, but I have been using 10.0 in local development and staging environments.	2020-03-29 16:08:29 +03:00
Alan Orth	48eef8c8e3	.travis.yml: Test on Python master But allow failures!	2020-03-29 16:07:44 +03:00
Alan Orth	fa9325e8a3	CHANGELOG.md: Add changes for v1.2.1	2020-03-02 14:32:07 +02:00
Alan Orth	998e833470	dspace_statistics_api/docs/index.html: Adjust help text	2020-03-02 14:30:16 +02:00
Alan Orth	dd8252601f	README.md: Adjust API help text	2020-03-02 14:29:13 +02:00
Alan Orth	9a9555853f	README.md: Add note about versions	2020-03-02 14:28:22 +02:00
Alan Orth	385e92cc5e	README.md: Update Remove TODOs that I've recently completed and update introduction.	2020-03-02 14:25:47 +02:00
Alan Orth	b0e6481961	tests/dspacestatistics.sql: Update New database snapshot that uses UUIDs.	2020-03-02 12:36:06 +02:00
Alan Orth	f96a903be3	README.md: Update Python requirement	2020-03-02 11:47:03 +02:00
Alan Orth	fcf8fa4c29	CHANGELOG.md: Minor syntax and spelling changes	2020-03-02 11:45:26 +02:00
Alan Orth	5dd50ff998	CHANGELOG.md: Version 1.2.0 This version only works with DSpace 6+ where the internal item id- entifiers are UUIDs instead of integers. Version 1.1.1 was the last version to work with DSpace 4 and 5.	2020-03-02 11:34:58 +02:00
Alan Orth	6704e7375f	CHANGELOG.md: Add note about Python dependencies	2020-03-02 11:34:13 +02:00
Alan Orth	37630d8dac	CHANGELOG.md: Add note about DSpace 6+ UUIDs	2020-03-02 11:27:10 +02:00
Alan Orth	0ef071a91d	dspace_statistics_api: Use f-strings instead of format() We had previously been avoiding the f-strings because we needed to run on Python 3.5 and they were only available in Python 3.6+, but now the black formatter requires Python 3.6 and all our systems are running Python 3.6+ anyways.	2020-03-02 11:24:29 +02:00
Alan Orth	9e7dd28156	dspace_statistics_api/app.py: Use parameterized SQL queries This is a better way to run SQL queries because psycopg2 takes care of the quoting for us.	2020-03-02 11:16:05 +02:00
Alan Orth	60e6ea57b1	tests/test_api.py: Use UUID DSpace 6+ uses a UUID for item identifiers instead of an integer so we need to adapt our tests accordingly. The Python UUID object must be cast to a string to use it elsewhere in the code.	2020-03-02 11:10:41 +02:00
Alan Orth	5955868b9a	dspace_statistics_api/app.py: Use UUID DSpace 6+ uses a UUID for item identifiers instead of an integer so we need to adapt our PostgreSQL queries to use those. Note that we can no longer sort results in the "all items" endpoint by ID. Also, we need to use parameterized psycopg2 queries instead of strings to support queries with UUIDs properly. To use the Python UUID objects elsewhere in the code we need to make sure that we cast them to str.	2020-03-02 11:06:48 +02:00
Alan Orth	250fd8164f	dspace_statistics_api/indexer.py: Use UUID DSpace 6+ uses a UUID for item identifiers instead of an integer so we need to update the PostgreSQL schema accordingly. Solr still re- fers to them as "id" in its schema so we don't need to change anyt- hing there.	2020-03-01 21:22:10 +02:00
Alan Orth	82be1a4d00	Update requirements Generated from pipenv with: $ pipenv lock -r > requirements.txt $ pipenv lock -r -d > requirements-dev.txt	2020-03-01 21:21:13 +02:00
Alan Orth	0615064e3d	Add pytest-clarity to pipenv Makes pytest output easier to understand.	2020-03-01 21:19:28 +02:00
Alan Orth	76be1b749a	Run pipenv update	2020-03-01 21:13:32 +02:00
Alan Orth	92146fe426	tests/test_api.py: Format with black	2019-12-14 12:39:58 +02:00
Alan Orth	440b2f2dfa	Pipfile.lock: Run pipenv update	2019-12-14 12:38:11 +02:00
Alan Orth	67bc30ead0	Pipfile: Specify exact version of black Black only releases pre-release versions, which causes issues with pipenv. Instead of always running pipenv with "--pre" and potenti- ally letting in some other pre-release versions for other depende- ncies, I would rather specify the latest black version explicitly. See: https://github.com/psf/black/issues/517 See: https://github.com/microsoft/vscode-python/issues/5171	2019-12-14 12:37:10 +02:00
Alan Orth	142959acdb	CHANGELOG.md: Unreleased changes	2019-11-27 12:56:39 +02:00
Alan Orth	322f5a8db8	.travis.yml: Remove Python 3.5 black does not work with Python 3.5. It's not such a big deal, as this is only required for running tests, not for running the app.	2019-11-27 12:55:34 +02:00
Alan Orth	90dcaa6ec6	CHANGELOG.md: Fix typo	2019-11-27 12:47:07 +02:00
Alan Orth	9aca827d69	Update requirements-dev.txt Generated with pipenv: $ pipenv lock -r -d > requirements-dev.txt	2019-11-27 12:36:05 +02:00