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dspace-statistics-api/dspace_statistics_api/app.py

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Add SPDX short license identifier to all Python files See: https://spdx.github.io/spdx-spec/appendix-V-using-SPDX-short-identifiers-in-source-files/
2021-03-22 12:42:42 +01:00
# SPDX-License-Identifier: GPL-3.0-only
Re-work Swagger UI configuration It turns out that Swagger UI mostly does the "right" thing for our use cases here, but it assumes that API paths are relative to the root of the host where it is being served. This works in the local development environment because we are serving on "/", but it does not work in production where the API is deployed beneath the DSpace REST API, for example at "/rest/statistics". The solution here is to allow configuration of the DSpace Statistics API path and use that when registering the Swagger UI as well as in a new "server" block in the OpenAPI JSON schema. By default it is configured to work out of the box in a development environment. Set the DSPACE_STATISTICS_API_URL environment variable to something like "/rest/statistics" when running in production.
2020-12-23 12:25:17 +01:00
import json
Rework paging The "totalPages" value in our response is calculated incorrectly. Instead of casting to int and rounding, we should rather round up to the next integer with math.ceil. This is a more correct way to get the value. Also update the indexer to use the same logic, although there the values are printed with +1 so they are more readable.
2020-12-27 11:22:07 +01:00
import math
Re-work Swagger UI configuration It turns out that Swagger UI mostly does the "right" thing for our use cases here, but it assumes that API paths are relative to the root of the host where it is being served. This works in the local development environment because we are serving on "/", but it does not work in production where the API is deployed beneath the DSpace REST API, for example at "/rest/statistics". The solution here is to allow configuration of the DSpace Statistics API path and use that when registering the Swagger UI as well as in a new "server" block in the OpenAPI JSON schema. By default it is configured to work out of the box in a development environment. Set the DSPACE_STATISTICS_API_URL environment variable to something like "/rest/statistics" when running in production.
2020-12-23 12:25:17 +01:00
Initial commit Add first working version of the statistics API.
2018-09-18 13:03:15 +02:00
import falcon
Move all imports to top of file A few months ago I had an issue setting up mocking because I was trying to be clever importing these libraries only when I needed them rather than at the global scope. Someone pointed out to me that if the imports are at the top of the file Falcon will load them once when the WSGI server starts, whereas if they are in the on_get() or on_post() they will load for every request! Also, it seems that PEP8 recommends keeping imports at the top of the file anyways, so I will just do that. Imports sorted with isort. See: https://www.python.org/dev/peps/pep-0008/#imports
2020-12-18 21:42:06 +01:00
import psycopg2.extras
Add Swagger UI on /swagger This includes a Swagger UI with an OpenAPI 3.0 JSON schema for easy interactive demonstration and testing of the API. The JSON schema was created with the standalone swagger-editor. Includes tests to make sure that the /swagger and /docs/openapi.json paths are acce- ssible.
2020-12-22 10:18:47 +01:00
from falcon_swagger_ui import register_swaggerui_app
Initial commit Add first working version of the statistics API.
2018-09-18 13:03:15 +02:00
Re-work Swagger UI configuration It turns out that Swagger UI mostly does the "right" thing for our use cases here, but it assumes that API paths are relative to the root of the host where it is being served. This works in the local development environment because we are serving on "/", but it does not work in production where the API is deployed beneath the DSpace REST API, for example at "/rest/statistics". The solution here is to allow configuration of the DSpace Statistics API path and use that when registering the Swagger UI as well as in a new "server" block in the OpenAPI JSON schema. By default it is configured to work out of the box in a development environment. Set the DSPACE_STATISTICS_API_URL environment variable to something like "/rest/statistics" when running in production.
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from .config import DSPACE_STATISTICS_API_URL, VERSION
Sort imports with isort
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from .database import DatabaseManager
Rename items.py to stats.py It is no longer used only for item-related statistics functions.
2020-12-20 15:28:56 +01:00
from .stats import get_downloads, get_views
dspace_statistics_api/app.py: Run isort
2020-12-20 15:29:35 +01:00
from .util import set_statistics_scope, validate_post_parameters
Sort imports with isort
2019-11-27 11:31:04 +01:00
Correct issues highlighted by Flake8 Flake8 validates code style against PEP 8 in order to encourage the writing of idiomatic Python. For reference, I am currently ignoring errors about line length (E501) because I feel it makes code harder to read. This is the invocation I am using: $ flake8 --ignore E501 dspace_statistics_api
2018-11-03 22:55:23 +01:00
Add basic API documentation on root (/) I had imagined plugging in an interactive Swagger or OpenAPI instance here, but that's actually much more involved in Falcon than I want to deal with right now.
2018-10-31 23:19:39 +01:00
class RootResource:
def on_get(self, req, resp):
resp.status = falcon.HTTP_200
Format code with black
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resp.content_type = "text/html"
Adjust docs at root Don't use a static HTML file anymore. Now I simply print an XHTML page from the Falcon resource. This way I can use variables to add in the API version as well as a link to the Swagger UI. The list of API calls is still present on the README.md, though in the long run I might move them to some dedicated documentation or a GitHub wiki.
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docs_html = (
"<!DOCTYPE html>"
dspace_statistics_api/app.py: Format with black
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'<html lang="en-US">'
Adjust docs at root Don't use a static HTML file anymore. Now I simply print an XHTML page from the Falcon resource. This way I can use variables to add in the API version as well as a link to the Swagger UI. The list of API calls is still present on the README.md, though in the long run I might move them to some dedicated documentation or a GitHub wiki.
2020-12-23 15:12:50 +01:00
" <head>"
dspace_statistics_api/app.py: Format with black
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' <meta charset="UTF-8">'
Adjust docs at root Don't use a static HTML file anymore. Now I simply print an XHTML page from the Falcon resource. This way I can use variables to add in the API version as well as a link to the Swagger UI. The list of API calls is still present on the README.md, though in the long run I might move them to some dedicated documentation or a GitHub wiki.
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" <title>DSpace Statistics API</title>"
" </head>"
" <body>"
f" <h1>DSpace Statistics API {VERSION}</h1>"
f" <p>This site is running the <a href=\"https://github.com/ilri/dspace-statistics-api\" title=\"DSpace Statistics API project\">DSpace Statistics API</a>. For more information see the project's README.md or the interactive <a href=\"{DSPACE_STATISTICS_API_URL + '/swagger'}\">Swagger UI</a> built into this API.</p>"
" </body>"
"</html"
)
Changes for Falcon 3.0.0 Mostly it seems we just need to use resp.text instead of resp.body, including in falcon-swagger-ui (I forked the upstream one to make this change). See: https://falcon.readthedocs.io/en/latest/changes/3.0.0.html
2021-03-21 09:32:58 +01:00
resp.text = docs_html
Add basic API documentation on root (/) I had imagined plugging in an interactive Swagger or OpenAPI instance here, but that's actually much more involved in Falcon than I want to deal with right now.
2018-10-31 23:19:39 +01:00
Correct issues highlighted by Flake8 Flake8 validates code style against PEP 8 in order to encourage the writing of idiomatic Python. For reference, I am currently ignoring errors about line length (E501) because I feel it makes code harder to read. This is the invocation I am using: $ flake8 --ignore E501 dspace_statistics_api
2018-11-03 22:55:23 +01:00
Add /status route Currently this only prints the API version.
2020-12-22 10:30:09 +01:00
class StatusResource:
def on_get(self, req, resp):
message = {"version": VERSION}
resp.status = falcon.HTTP_200
resp.media = message
Add Swagger UI on /swagger This includes a Swagger UI with an OpenAPI 3.0 JSON schema for easy interactive demonstration and testing of the API. The JSON schema was created with the standalone swagger-editor. Includes tests to make sure that the /swagger and /docs/openapi.json paths are acce- ssible.
2020-12-22 10:18:47 +01:00
class OpenAPIJSONResource:
def on_get(self, req, resp):
resp.status = falcon.HTTP_200
resp.content_type = "text/html"
with open("dspace_statistics_api/docs/openapi.json", "r") as f:
Re-work Swagger UI configuration It turns out that Swagger UI mostly does the "right" thing for our use cases here, but it assumes that API paths are relative to the root of the host where it is being served. This works in the local development environment because we are serving on "/", but it does not work in production where the API is deployed beneath the DSpace REST API, for example at "/rest/statistics". The solution here is to allow configuration of the DSpace Statistics API path and use that when registering the Swagger UI as well as in a new "server" block in the OpenAPI JSON schema. By default it is configured to work out of the box in a development environment. Set the DSPACE_STATISTICS_API_URL environment variable to something like "/rest/statistics" when running in production.
2020-12-23 12:25:17 +01:00
# Load the openapi.json schema
data = json.load(f)
# Swagger assumes your API is at the root of the current host unless
# you configure a "servers" block in the schema. The problem is that
# I want this to work in both development and production, so we need
# to make this configurable.
#
# If the DSPACE_STATISTICS_API_URL is configured then we will add a
# server entry to the openapi.json schema before sending it.
if DSPACE_STATISTICS_API_URL != "":
data["servers"] = [{"url": DSPACE_STATISTICS_API_URL}]
openapi.json: Set the API version from config We don't need to hard code this in the JSON anymore since we are reading and modifying it now for the server config anyways.
2020-12-27 11:48:13 +01:00
# Set the version in the schema so Swagger UI can display it
data["info"]["version"] = VERSION
Changes for Falcon 3.0.0 Mostly it seems we just need to use resp.text instead of resp.body, including in falcon-swagger-ui (I forked the upstream one to make this change). See: https://falcon.readthedocs.io/en/latest/changes/3.0.0.html
2021-03-21 09:32:58 +01:00
resp.text = json.dumps(data)
Add Swagger UI on /swagger This includes a Swagger UI with an OpenAPI 3.0 JSON schema for easy interactive demonstration and testing of the API. The JSON schema was created with the standalone swagger-editor. Includes tests to make sure that the /swagger and /docs/openapi.json paths are acce- ssible.
2020-12-22 10:18:47 +01:00
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
class AllStatisticsResource:
@falcon.before(set_statistics_scope)
app.py: Add route to page through all item statistics This route exposes all item statistics and uses the limit and offset parameters to control paging throug the result set. The logic here is extremely easy thanks to the brilliant LIMIT and OFFSET features of SQLite (of course the SQL query sorts the results by some unique field to ensure the order is already the same).
2018-09-24 15:07:26 +02:00
def on_get(self, req, resp):
"""Handles GET requests"""
# Return HTTPBadRequest if id parameter is not present and valid
Make sure limit is between 1 and 100 We were not properly checking whether the limit was greater than 0 in all cases.
2020-11-02 20:59:20 +01:00
limit = req.get_param_as_int("limit", min_value=1, max_value=100) or 100
dspace_statistics_api/app.py: Fix Falcon 2.0 syntax See: dspace_statistics_api/app.py
2019-03-17 22:23:23 +01:00
page = req.get_param_as_int("page", min_value=0) or 0
app.py: Add route to page through all item statistics This route exposes all item statistics and uses the limit and offset parameters to control paging throug the result set. The logic here is extremely easy thanks to the brilliant LIMIT and OFFSET features of SQLite (of course the SQL query sorts the results by some unique field to ensure the order is already the same).
2018-09-24 15:07:26 +02:00
offset = limit * page
Refactor database code to use a context manager Instead of opening one global persistent database connection when the application I am now abstracting it to a class that I can use in combination with Python's "with" context. Both connections and cursors are kept for the context of each "with" block and closed automatically when exiting. See: https://alysivji.github.io/managing-resources-with-context-managers-pythonic.html See: http://initd.org/psycopg/docs/connection.html#connection.close
2018-11-07 16:41:21 +01:00
with DatabaseManager() as db:
db.set_session(readonly=True)
app.py: Add route to page through all item statistics This route exposes all item statistics and uses the limit and offset parameters to control paging throug the result set. The logic here is extremely easy thanks to the brilliant LIMIT and OFFSET features of SQLite (of course the SQL query sorts the results by some unique field to ensure the order is already the same).
2018-09-24 15:07:26 +02:00
Refactor database code to use a context manager Instead of opening one global persistent database connection when the application I am now abstracting it to a class that I can use in combination with Python's "with" context. Both connections and cursors are kept for the context of each "with" block and closed automatically when exiting. See: https://alysivji.github.io/managing-resources-with-context-managers-pythonic.html See: http://initd.org/psycopg/docs/connection.html#connection.close
2018-11-07 16:41:21 +01:00
with db.cursor() as cursor:
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
# get total number of communities/collections/items so we can estimate the pages
cursor.execute(f"SELECT COUNT(id) FROM {req.context.statistics_scope}")
Rework paging The "totalPages" value in our response is calculated incorrectly. Instead of casting to int and rounding, we should rather round up to the next integer with math.ceil. This is a more correct way to get the value. Also update the indexer to use the same logic, although there the values are printed with +1 so they are more readable.
2020-12-27 11:22:07 +01:00
pages = math.ceil(cursor.fetchone()[0] / limit)
app.py: Add route to page through all item statistics This route exposes all item statistics and uses the limit and offset parameters to control paging throug the result set. The logic here is extremely easy thanks to the brilliant LIMIT and OFFSET features of SQLite (of course the SQL query sorts the results by some unique field to ensure the order is already the same).
2018-09-24 15:07:26 +02:00
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.
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# get statistics and use limit and offset to page through results
Format code with black
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cursor.execute(
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
f"SELECT id, views, downloads FROM {req.context.statistics_scope} ORDER BY id LIMIT %s OFFSET %s",
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.
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[limit, offset],
Format code with black
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)
app.py: Add route to page through all item statistics This route exposes all item statistics and uses the limit and offset parameters to control paging throug the result set. The logic here is extremely easy thanks to the brilliant LIMIT and OFFSET features of SQLite (of course the SQL query sorts the results by some unique field to ensure the order is already the same).
2018-09-24 15:07:26 +02:00
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
# create a list to hold dicts of stats
Refactor database code to use a context manager Instead of opening one global persistent database connection when the application I am now abstracting it to a class that I can use in combination with Python's "with" context. Both connections and cursors are kept for the context of each "with" block and closed automatically when exiting. See: https://alysivji.github.io/managing-resources-with-context-managers-pythonic.html See: http://initd.org/psycopg/docs/connection.html#connection.close
2018-11-07 16:41:21 +01:00
statistics = list()
app.py: Add route to page through all item statistics This route exposes all item statistics and uses the limit and offset parameters to control paging throug the result set. The logic here is extremely easy thanks to the brilliant LIMIT and OFFSET features of SQLite (of course the SQL query sorts the results by some unique field to ensure the order is already the same).
2018-09-24 15:07:26 +02:00
Refactor database code to use a context manager Instead of opening one global persistent database connection when the application I am now abstracting it to a class that I can use in combination with Python's "with" context. Both connections and cursors are kept for the context of each "with" block and closed automatically when exiting. See: https://alysivji.github.io/managing-resources-with-context-managers-pythonic.html See: http://initd.org/psycopg/docs/connection.html#connection.close
2018-11-07 16:41:21 +01:00
# iterate over results and build statistics object
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
for result in cursor:
Format code with black
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statistics.append(
{
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
"id": str(result["id"]),
"views": result["views"],
"downloads": result["downloads"],
Format code with black
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}
)
app.py: Iterate directly on cursor We don't need to create an intermediate variable for the results of the SQL query because psycopg2's cursor is iterable. See: http://initd.org/psycopg/docs/cursor.html
2018-09-27 10:03:44 +02:00
app.py: Add route to page through all item statistics This route exposes all item statistics and uses the limit and offset parameters to control paging throug the result set. The logic here is extremely easy thanks to the brilliant LIMIT and OFFSET features of SQLite (of course the SQL query sorts the results by some unique field to ensure the order is already the same).
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message = {
Format code with black
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"currentPage": page,
"totalPages": pages,
"limit": limit,
"statistics": statistics,
app.py: Add route to page through all item statistics This route exposes all item statistics and uses the limit and offset parameters to control paging throug the result set. The logic here is extremely easy thanks to the brilliant LIMIT and OFFSET features of SQLite (of course the SQL query sorts the results by some unique field to ensure the order is already the same).
2018-09-24 15:07:26 +02:00
}
resp.media = message
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
@falcon.before(set_statistics_scope)
@falcon.before(validate_post_parameters)
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 11:21:11 +02:00
def on_post(self, req, resp):
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
"""Handles POST requests.
Uses two `before` hooks to set the statistics "scope" and validate the
POST parameters. The "scope" is the type of statistics we want, which
will be items, communities, or collections, depending on the request.
"""
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 11:21:11 +02:00
# Build the Solr date string, ie: [* TO *]
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 17:37:14 +02:00
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 *]"
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 11:21:11 +02:00
else:
solr_date_string = "[* TO *]"
# Helper variables to make working with pages/items/results easier and
# to make the code easier to understand
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
number_of_elements: int = len(req.context.elements)
Rework paging The "totalPages" value in our response is calculated incorrectly. Instead of casting to int and rounding, we should rather round up to the next integer with math.ceil. This is a more correct way to get the value. Also update the indexer to use the same logic, although there the values are printed with +1 so they are more readable.
2020-12-27 11:22:07 +01:00
pages: int = math.ceil(number_of_elements / req.context.limit)
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
first_element: int = req.context.page * req.context.limit
last_element: int = first_element + req.context.limit
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 11:21:11 +02:00
# 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
#
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
# So if we have a list of items with 240 items:
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 11:21:11 +02:00
#
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 17:37:14 +02:00
# 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
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
elements_subset: list = req.context.elements[first_element:last_element]
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 11:21:11 +02:00
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
views: dict = get_views(
solr_date_string, elements_subset, req.context.views_facet_field
)
downloads: dict = get_downloads(
solr_date_string, elements_subset, req.context.downloads_facet_field
)
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 11:21:11 +02:00
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
# create a list to hold dicts of stats
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 11:21:11 +02:00
statistics = list()
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
# iterate over views dict to extract views and use the element id as an
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 11:21:11 +02:00
# index to the downloads dict to extract downloads.
for k, v in views.items():
statistics.append({"id": k, "views": v, "downloads": downloads[k]})
message = {
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 17:37:14 +02:00
"currentPage": req.context.page,
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 11:21:11 +02:00
"totalPages": pages,
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 17:37:14 +02:00
"limit": req.context.limit,
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 11:21:11 +02:00
"statistics": statistics,
}
resp.status = falcon.HTTP_200
resp.media = message
Correct issues highlighted by Flake8 Flake8 validates code style against PEP 8 in order to encourage the writing of idiomatic Python. For reference, I am currently ignoring errors about line length (E501) because I feel it makes code harder to read. This is the invocation I am using: $ flake8 --ignore E501 dspace_statistics_api
2018-11-03 22:55:23 +01:00
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
class SingleStatisticsResource:
@falcon.before(set_statistics_scope)
def on_get(self, req, resp, id_):
Initial commit Add first working version of the statistics API.
2018-09-18 13:03:15 +02:00
"""Handles GET requests"""
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 10:06:27 +01:00
# Adapt Python’s uuid.UUID type to PostgreSQL’s uuid
# See: https://www.psycopg.org/docs/extras.html
psycopg2.extras.register_uuid()
Refactor database code to use a context manager Instead of opening one global persistent database connection when the application I am now abstracting it to a class that I can use in combination with Python's "with" context. Both connections and cursors are kept for the context of each "with" block and closed automatically when exiting. See: https://alysivji.github.io/managing-resources-with-context-managers-pythonic.html See: http://initd.org/psycopg/docs/connection.html#connection.close
2018-11-07 16:41:21 +01:00
with DatabaseManager() as db:
db.set_session(readonly=True)
with db.cursor() as cursor:
cursor = db.cursor()
Format code with black
2019-11-27 11:30:06 +01:00
cursor.execute(
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
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f"SELECT views, downloads FROM {req.context.database} WHERE id=%s",
[str(id_)],
Format code with black
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)
Refactor database code to use a context manager Instead of opening one global persistent database connection when the application I am now abstracting it to a class that I can use in combination with Python's "with" context. Both connections and cursors are kept for the context of each "with" block and closed automatically when exiting. See: https://alysivji.github.io/managing-resources-with-context-managers-pythonic.html See: http://initd.org/psycopg/docs/connection.html#connection.close
2018-11-07 16:41:21 +01:00
if cursor.rowcount == 0:
raise falcon.HTTPNotFound(
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
title=f"{req.context.statistics_scope} not found",
description=f'The {req.context.statistics_scope} with id "{str(id_)}" was not found.',
Refactor database code to use a context manager Instead of opening one global persistent database connection when the application I am now abstracting it to a class that I can use in combination with Python's "with" context. Both connections and cursors are kept for the context of each "with" block and closed automatically when exiting. See: https://alysivji.github.io/managing-resources-with-context-managers-pythonic.html See: http://initd.org/psycopg/docs/connection.html#connection.close
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)
else:
results = cursor.fetchone()
statistics = {
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
"id": str(id_),
Format code with black
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"views": results["views"],
"downloads": results["downloads"],
Refactor database code to use a context manager Instead of opening one global persistent database connection when the application I am now abstracting it to a class that I can use in combination with Python's "with" context. Both connections and cursors are kept for the context of each "with" block and closed automatically when exiting. See: https://alysivji.github.io/managing-resources-with-context-managers-pythonic.html See: http://initd.org/psycopg/docs/connection.html#connection.close
2018-11-07 16:41:21 +01:00
}
resp.media = statistics
Initial commit Add first working version of the statistics API.
2018-09-18 13:03:15 +02:00
Correct issues highlighted by Flake8 Flake8 validates code style against PEP 8 in order to encourage the writing of idiomatic Python. For reference, I am currently ignoring errors about line length (E501) because I feel it makes code harder to read. This is the invocation I am using: $ flake8 --ignore E501 dspace_statistics_api
2018-11-03 22:55:23 +01:00
Changes for Falcon 3.0.0 Mostly it seems we just need to use resp.text instead of resp.body, including in falcon-swagger-ui (I forked the upstream one to make this change). See: https://falcon.readthedocs.io/en/latest/changes/3.0.0.html
2021-03-21 09:32:58 +01:00
app = application = falcon.App()
app.add_route("/", RootResource())
app.add_route("/status", StatusResource())
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
# Item routes
Changes for Falcon 3.0.0 Mostly it seems we just need to use resp.text instead of resp.body, including in falcon-swagger-ui (I forked the upstream one to make this change). See: https://falcon.readthedocs.io/en/latest/changes/3.0.0.html
2021-03-21 09:32:58 +01:00
app.add_route("/items", AllStatisticsResource())
app.add_route("/item/{id_:uuid}", SingleStatisticsResource())
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
# Community routes
Changes for Falcon 3.0.0 Mostly it seems we just need to use resp.text instead of resp.body, including in falcon-swagger-ui (I forked the upstream one to make this change). See: https://falcon.readthedocs.io/en/latest/changes/3.0.0.html
2021-03-21 09:32:58 +01:00
app.add_route("/communities", AllStatisticsResource())
app.add_route("/community/{id_:uuid}", SingleStatisticsResource())
Add communities and collections support to API The basic logic is similar to items, where you can request single item statistics with a UUID, all item statistics, and item statis- tics for a list of items (optionally with a date range). Most of the item code was re-purposed to work on "elements", which can be items, communities, or collections depending on the request, with the use of Falcon's `before` hooks to set the statistics scope so we know how to behave for the current request. Other than the minor difference in facet fields, another issue I had with communities and collections is that the owningComm and owningColl fields are multi-valued (unlike items' id field). This means that, when you facet the results of your query, Solr returns ids that seem unrelated, but are actually present in the field, so I had to make sure I checked all returned ids to see if they were in the user's POSTed elements list. TODO: - Add tests - Revise docstrings - Refactor items.py as it is now generic
2020-12-20 15:14:46 +01:00
# Collection routes
Changes for Falcon 3.0.0 Mostly it seems we just need to use resp.text instead of resp.body, including in falcon-swagger-ui (I forked the upstream one to make this change). See: https://falcon.readthedocs.io/en/latest/changes/3.0.0.html
2021-03-21 09:32:58 +01:00
app.add_route("/collections", AllStatisticsResource())
app.add_route("/collection/{id_:uuid}", SingleStatisticsResource())
Add vim modeline to all Python files Uses four spaces for tab and shift widths, and turns on expansion of tabs to spaces.
2018-09-23 10:33:26 +02:00
Changes for Falcon 3.0.0 Mostly it seems we just need to use resp.text instead of resp.body, including in falcon-swagger-ui (I forked the upstream one to make this change). See: https://falcon.readthedocs.io/en/latest/changes/3.0.0.html
2021-03-21 09:32:58 +01:00
# Route to the Swagger UI Openapp schema
app.add_route("/docs/openapi.json", OpenAPIJSONResource())
Re-work Swagger UI configuration It turns out that Swagger UI mostly does the "right" thing for our use cases here, but it assumes that API paths are relative to the root of the host where it is being served. This works in the local development environment because we are serving on "/", but it does not work in production where the API is deployed beneath the DSpace REST API, for example at "/rest/statistics". The solution here is to allow configuration of the DSpace Statistics API path and use that when registering the Swagger UI as well as in a new "server" block in the OpenAPI JSON schema. By default it is configured to work out of the box in a development environment. Set the DSPACE_STATISTICS_API_URL environment variable to something like "/rest/statistics" when running in production.
2020-12-23 12:25:17 +01:00
# Path to host the Swagger UI. Keep in mind that Falcon will add a route for
# this automatically when we register Swagger and the path will be relative
# to the Falcon app like all other routes, not the absolute root.
SWAGGERUI_PATH = "/swagger"
# The *absolute* path to the OpenJSON schema. This must be absolute because
# it will be requested by the client and must resolve absolutely. Note: the
# name of this variable is misleading because it is actually the schema URL
Changes for Falcon 3.0.0 Mostly it seems we just need to use resp.text instead of resp.body, including in falcon-swagger-ui (I forked the upstream one to make this change). See: https://falcon.readthedocs.io/en/latest/changes/3.0.0.html
2021-03-21 09:32:58 +01:00
# but we pass it into the register_swaggerui_app() function as the app_url
Re-work Swagger UI configuration It turns out that Swagger UI mostly does the "right" thing for our use cases here, but it assumes that API paths are relative to the root of the host where it is being served. This works in the local development environment because we are serving on "/", but it does not work in production where the API is deployed beneath the DSpace REST API, for example at "/rest/statistics". The solution here is to allow configuration of the DSpace Statistics API path and use that when registering the Swagger UI as well as in a new "server" block in the OpenAPI JSON schema. By default it is configured to work out of the box in a development environment. Set the DSPACE_STATISTICS_API_URL environment variable to something like "/rest/statistics" when running in production.
2020-12-23 12:25:17 +01:00
# parameter.
SWAGGERUI_API_URL = f"{DSPACE_STATISTICS_API_URL}/docs/openapi.json"
Add Swagger UI on /swagger This includes a Swagger UI with an OpenAPI 3.0 JSON schema for easy interactive demonstration and testing of the API. The JSON schema was created with the standalone swagger-editor. Includes tests to make sure that the /swagger and /docs/openapi.json paths are acce- ssible.
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register_swaggerui_app(
Changes for Falcon 3.0.0 Mostly it seems we just need to use resp.text instead of resp.body, including in falcon-swagger-ui (I forked the upstream one to make this change). See: https://falcon.readthedocs.io/en/latest/changes/3.0.0.html
2021-03-21 09:32:58 +01:00
app,
Re-work Swagger UI configuration It turns out that Swagger UI mostly does the "right" thing for our use cases here, but it assumes that API paths are relative to the root of the host where it is being served. This works in the local development environment because we are serving on "/", but it does not work in production where the API is deployed beneath the DSpace REST API, for example at "/rest/statistics". The solution here is to allow configuration of the DSpace Statistics API path and use that when registering the Swagger UI as well as in a new "server" block in the OpenAPI JSON schema. By default it is configured to work out of the box in a development environment. Set the DSPACE_STATISTICS_API_URL environment variable to something like "/rest/statistics" when running in production.
2020-12-23 12:25:17 +01:00
SWAGGERUI_PATH,
SWAGGERUI_API_URL,
Add Swagger UI on /swagger This includes a Swagger UI with an OpenAPI 3.0 JSON schema for easy interactive demonstration and testing of the API. The JSON schema was created with the standalone swagger-editor. Includes tests to make sure that the /swagger and /docs/openapi.json paths are acce- ssible.
2020-12-22 10:18:47 +01:00
config={
"supportedSubmitMethods": ["get", "post"],
},
Re-work Swagger UI configuration It turns out that Swagger UI mostly does the "right" thing for our use cases here, but it assumes that API paths are relative to the root of the host where it is being served. This works in the local development environment because we are serving on "/", but it does not work in production where the API is deployed beneath the DSpace REST API, for example at "/rest/statistics". The solution here is to allow configuration of the DSpace Statistics API path and use that when registering the Swagger UI as well as in a new "server" block in the OpenAPI JSON schema. By default it is configured to work out of the box in a development environment. Set the DSPACE_STATISTICS_API_URL environment variable to something like "/rest/statistics" when running in production.
2020-12-23 12:25:17 +01:00
uri_prefix=DSPACE_STATISTICS_API_URL,
Add Swagger UI on /swagger This includes a Swagger UI with an OpenAPI 3.0 JSON schema for easy interactive demonstration and testing of the API. The JSON schema was created with the standalone swagger-editor. Includes tests to make sure that the /swagger and /docs/openapi.json paths are acce- ssible.
2020-12-22 10:18:47 +01:00
)
Add vim modeline to all Python files Uses four spaces for tab and shift widths, and turns on expansion of tabs to spaces.
2018-09-23 10:33:26 +02:00
# vim: set sw=4 ts=4 expandtab:
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