{
"info": {
"author": "Keen IO",
"author_email": "team@keen.io",
"bugtrack_url": null,
"classifiers": [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Natural Language :: English",
"Operating System :: OS Independent",
"Programming Language :: Python",
"Programming Language :: Python :: 2",
"Programming Language :: Python :: 2.7",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.4",
"Programming Language :: Python :: 3.5",
"Programming Language :: Python :: 3.6",
"Topic :: Software Development :: Libraries :: Python Modules"
],
"description": "Keen IO Official Python Client Library\n======================================\n\n|build-status| |pypi-version|\n\nThis is the official Python Client for the `Keen IO `_ API. The\nKeen IO API lets developers build analytics features directly into their apps.\n\nThis is still under active development. Stay tuned for improvements!\n\nInstallation\n------------\n\nUse pip to install!\n\n::\n\n pip install keen\n\nThis client is known to work on Python 2.7, 3.4, 3.5 and 3.6.\n\nFor versions of Python < 2.7.9, you\u2019ll need to install pyasn1, ndg-httpsclient, pyOpenSSL.\n\nUsage\n-----\n\nTo use this client with the Keen IO API, you have to configure your Keen IO Project ID and its access\nkeys (if you need an account, `sign up here `_ - it's free).\n\nSetting a write key is required for publishing events. Setting a read key is required for\nrunning queries. The recommended way to set this configuration information is via the environment.\nThe keys you can set are `KEEN_PROJECT_ID`, `KEEN_WRITE_KEY`, `KEEN_READ_KEY`, and `KEEN_MASTER_KEY`.\nAs per the `Principle of Least Privilege `_, it's recommended that you not use the master_key if not \nnecessary. This SDK will expect and use the precise key for a given operation, and throw an\nexception in cases of misuse.\n\nIf you don't want to use environment variables for some reason, you can directly set values as follows:\n\n.. code-block:: python\n\n keen.project_id = \"xxxx\"\n keen.write_key = \"yyyy\"\n keen.read_key = \"zzzz\"\n keen.master_key = \"abcd\" # not required for typical usage\n\n\nFor information on how to configure unique client instances, take a look at the\n`Advanced Usage <#advanced-usage>`_ section below.\n\nSend Events to Keen IO\n``````````````````````\n\nOnce you've set `KEEN_PROJECT_ID` and `KEEN_WRITE_KEY`, sending events is simple:\n\n.. code-block:: python\n\n keen.add_event(\"sign_ups\", {\n \"username\": \"lloyd\",\n \"referred_by\": \"harry\"\n })\n\nData Enrichment\n```````````````\n\nA data enrichment is a powerful add-on to enrich the data you're already streaming to Keen IO by pre-processing the data and adding helpful data properties. To activate add-ons, you simply add some new properties within the \"keen\" namespace in your events. Detailed documentation for the configuration of our add-ons is available `here `_.\n\nHere is an example of using the `URL parser `_:\n\n.. code-block:: python\n\n keen.add_event(\"requests\", {\n \"page_url\" : \"http://my-website.com/cool/link?source=twitter&foo=bar/#title\",\n \"keen\" : {\n \"addons\" : [\n {\n \"name\" : \"keen:url_parser\",\n \"input\" : {\n \"url\" : \"page_url\"\n },\n \"output\" : \"parsed_page_url\"\n }\n ]\n }\n })\n\nKeen IO will parse the URL for you and that would equivalent to:\n\n.. code-block:: python\n\n keen.add_event(\"request\", {\n \"page_url\" : \"http://my-website.com/cool/link?source=twitter&foo=bar/#title\",\n \"parsed_page_url\": {\n \"protocol\" : \"http\",\n \"domain\" : \"my-website.com\",\n \"path\" : \"/cool/link\",\n \"anchor\" : \"title\",\n \"query_string\" : {\n \"source\" : \"twitter\",\n \"foo\" : \"bar\"\n }\n }\n })\n\nHere is another example of using the `Datetime parser `_. Let's assume you want to do a deeper analysis on the \"purchases\" event by day of the week (Monday, Tuesday, Wednesday, etc.) and other interesting Datetime components. You can use \"keen.timestamp\" property that is included in your event automatically.\n\n.. code-block:: python\n\n keen.add_event(\"purchases\", {\n \"keen\": {\n \"addons\": [\n {\n \"name\": \"keen:date_time_parser\",\n \"input\": {\n \"date_time\" : \"keen.timestamp\"\n },\n \"output\": \"timestamp_info\"\n }\n ]\n },\n \"price\": 500\n })\n\nOther Data Enrichment add-ons are located in the `API reference docs `_.\n\nSend Batch Events to Keen IO\n````````````````````````````\n\nYou can upload Events in a batch, like so:\n\n.. code-block:: python\n\n # uploads 4 events total - 2 to the \"sign_ups\" collection and 2 to the \"purchases\" collection\n keen.add_events({\n \"sign_ups\": [\n { \"username\": \"nameuser1\" },\n { \"username\": \"nameuser2\" }\n ],\n \"purchases\": [\n { \"price\": 5 },\n { \"price\": 6 }\n ]\n })\n\n\nThat's it! After running your code, check your Keen IO Project to see the event/events has been added.\n\nDo analysis with Keen IO\n````````````````````````\n\nHere are some examples of querying. Let's assume you've added some events to the \"purchases\" collection.\nFor more code samples, take a look at Keen's `docs `_\n\n.. code-block:: python\n\n keen.count(\"purchases\", timeframe=\"this_14_days\") # => 100\n keen.sum(\"purchases\", target_property=\"price\", timeframe=\"this_14_days\") # => 10000\n keen.minimum(\"purchases\", target_property=\"price\", timeframe=\"this_14_days\") # => 20\n keen.maximum(\"purchases\", target_property=\"price\", timeframe=\"this_14_days\") # => 100\n keen.average(\"purchases\", target_property=\"price\", timeframe=\"this_14_days\") # => 49.2\n\n keen.sum(\"purchases\", target_property=\"price\", group_by=\"item.id\", timeframe=\"this_14_days\") # => [{ \"item.id\": 123, \"result\": 240 }, { ... }]\n\n keen.count_unique(\"purchases\", target_property=\"user.id\", timeframe=\"this_14_days\") # => 3\n keen.select_unique(\"purchases\", target_property=\"user.email\", timeframe=\"this_14_days\") # => [\"bob@aol.com\", \"joe@yahoo.biz\"]\n\n # Alpha support for ordering your results and limiting what is returned is now supported in the Python SDK.\n # Keep in mind that even if you limit your results with the \"limit\" keyword, you are still querying over the\n # normal amount of data, and thus your compute costs will not change. Limit only changes what is displayed.\n\n # The keyword \"limit\" must be a positive integer. The keyword \"order_by\" must be a dictionary with a required\n # \"property_name\" specified and optionally a \"direction\". The \"direction\" may be either keen.direction.DESCENDING or\n # keen.direction.ASCENDING. Ascending is the default direction used if no \"direction\" is supplied. No other keywords\n # may be used in the \"order_by\" dictionary.\n\n # You may only use \"order_by\" if you supply a \"group_by\". You may only use \"limit\" if you supply an \"order_by\".\n\n # This will run a count query with results grouped by zip code.\n # It will display only the top ten zip code results based upon how many times users in those zip codes logged in.\n keen.count(\"purchases\", group_by=\"zip_code\", timeframe=\"this_14_days\", limit=10,\n order_by={\"property_name\": \"result\", \"direction\": keen.direction.DESCENDING})\n\n keen.extraction(\"purchases\", timeframe=\"today\") # => [{ \"price\" => 20, ... }, { ... }]\n\n keen.multi_analysis(\n \"purchases\",\n analyses={\n \"total\":{\n \"analysis_type\": \"sum\",\n \"target_property\": \"price\"\n },\n \"average\":{\n \"analysis_type\": \"average\",\n \"target_property\": \"price\"\n }\n },\n timeframe='this_14_days'\n ) # => {\"total\":10329.03, \"average\":933.93}\n\n step1 = {\n \"event_collection\": \"sign_ups\",\n \"actor_property\": \"user.email\"\n }\n step2 = {\n \"event_collection\": \"purchases\",\n \"actor_property\": \"user.email\"\n }\n keen.funnel([step1, step2], timeframe=\"today\") # => [2039, 201]\n\n\nTo return the full API response from a funnel analysis (as opposed to the singular \"result\" key), set `all_keys=True`.\n\nFor example, `keen.funnel([step1, step2], timeframe=\"today\", all_keys=True)` would return \"result\", \"actors\" and \"steps\" keys.\n\nDelete Events\n`````````````\n\nThe Keen IO API allows you to `delete events `_ from event collections, optionally supplying filters, timeframe or timezone to narrow the scope of what you would like to delete.\n\nYou'll need to set your master_key.\n\n.. code-block:: python\n\n keen.delete_events(\"event_collection\", filters=[{\"property_name\": 'username', \"operator\": 'eq', \"property_value\": 'Bob'}])\n\nAdvanced Usage\n``````````````\n\nSee below for more options.\n\nCheck Batch Upload Response For Errors\n''''''''''''''''''''''''''''''''''''''\n\nWhen you upload events in a batch, some of them may succeed and some of them may have errors. The Keen API returns information on each. Here's an example:\n\nUpload code (remember, Keen IO doesn't allow periods in property names):\n\n.. code-block:: python\n\n response = keen.add_events({\n \"sign_ups\": [\n { \"username\": \"nameuser1\" },\n { \"username\": \"nameuser2\", \"an.invalid.property.name\": 1 }\n ],\n \"purchases\": [\n { \"price\": 5 },\n { \"price\": 6 }\n ]\n })\n\nThat code would result in the following API JSON response:\n\n.. code-block:: javascript\n\n {\n \"sign_ups\": [\n {\"success\": true},\n {\"success\": false, \"error\": {\"name\": \"some_error_name\", \"description\": \"some longer description\"}}\n ],\n \"purchases\": [\n {\"success\": true},\n {\"success\": true}\n ]\n }\n\nSo in python, to check on the results of your batch, you'd have code like so:\n\n.. code-block:: python\n\n batch = {\n \"sign_ups\": [\n { \"username\": \"nameuser1\" },\n { \"username\": \"nameuser2\", \"an.invalid.property.name\": 1 }\n ],\n \"purchases\": [\n { \"price\": 5 },\n { \"price\": 6 }\n ]\n }\n response = keen.add_events(batch)\n\n for collection in response:\n collection_result = response[collection]\n event_count = 0\n for individual_result in collection_result:\n if not individual_result[\"success\"]:\n print(\"Event had error! Collection: '{}'. Event body: '{}'.\".format(collection, batch[collection][event_count]))\n event_count += 1\n\nConfigure Unique Client Instances\n'''''''''''''''''''''''''''''''''\n\nIf you intend to send events or query from different projects within the same python file, you'll need to set up\nunique client instances (one per project). You can do this by assigning an instance of KeenClient to a variable like so:\n\n.. code-block:: python\n\n from keen.client import KeenClient\n\n client = KeenClient(\n project_id=\"xxxx\", # your project ID for collecting cycling data\n write_key=\"yyyy\",\n read_key=\"zzzz\",\n master_key=\"abcd\" # not required for typical usage\n )\n\n client_hike = KeenClient(\n project_id=\"xxxx\", # your project ID for collecting hiking data (different from the one above)\n write_key=\"yyyy\",\n read_key=\"zzzz\",\n master_key=\"abcd\" # not required for typical usage\n )\n\n\nYou can send events like this:\n\n.. code-block:: python\n\n # add an event to an event collection in your cycling project\n client.add_event(...)\n\n # or add an event to an event collection in your hiking project\n client_hike.add_event(...)\n\n\nSimilarly, you can query events like this:\n\n.. code-block:: python\n\n client.count(...)\n\n\nSaved Queries\n'''''''''''''\n\nYou can manage your `saved queries `_ from the Keen python client.\n\n.. code-block:: python\n\n # Create your KeenClient\n from keen.client import KeenClient\n\n client = KeenClient(\n project_id=\"xxxx\", # your project ID\n read_key=\"zzzz\",\n master_key=\"abcd\" # Most Saved Query functionality requires master_key\n )\n\n # Create a saved query\n saved_query_attributes = {\n # NOTE : For now, refresh_rate must explicitly be set to 0 unless you\n # intend to create a Cached Query.\n \"refresh_rate\": 0,\n \"query\": {\n \"analysis_type\": \"count\",\n \"event_collection\": \"purchases\",\n \"timeframe\": \"this_2_weeks\",\n \"filters\": [{\n \"property_name\": \"price\",\n \"operator\": \"gte\",\n \"property_value\": 1.00\n }]\n }\n }\n\n client.saved_queries.create(\"saved-query-name\", saved_query_attributes)\n\n # Get all saved queries\n client.saved_queries.all()\n\n # Get one saved query\n client.saved_queries.get(\"saved-query-name\")\n\n # Get saved query with results\n client.saved_queries.results(\"saved-query-name\")\n\n # NOTE : Updating Saved Queries requires sending the entire query definition. Any attribute not\n # sent is interpreted as being cleared/removed. This means that properties set via another\n # client, including the Projects Explorer Web UI, will be lost this way.\n # \n # The update() function makes this easier by allowing client code to just specify the\n # properties that need updating. To do this, it will retrieve the existing query definition\n # first, which means there will be two HTTP requests. Use update_full() in code that already\n # has a full query definition that can reasonably be expected to be current.\n\n # Update a saved query to now be a cached query with the minimum refresh rate of 4 hrs...\n\n # ...using partial update:\n client.saved_queries.update(\"saved-query-name\", { \"refresh_rate\": 14400 })\n\n # ...using full update, if we've already fetched the query definition:\n saved_query_attributes[\"refresh_rate\"] = 14400\n client.saved_queries.update_full(\"saved-query-name\", saved_query_attributes)\n\n # Update a saved query to a new resource name...\n\n # ...using partial update:\n client.saved_queries.update(\"saved-query-name\", { \"query_name\": \"cached-query-name\" })\n\n # ...using full update, if we've already fetched the query definition or have it lying around\n # for whatever reason. We send \"refresh_rate\" again, along with the entire definition, or else\n # it would be reset:\n saved_query_attributes[\"query_name\"] = \"cached-query-name\"\n client.saved_queries.update_full(\"saved-query-name\", saved_query_attributes)\n\n # Delete a saved query (use the new resource name since we just changed it)\n client.saved_queries.delete(\"cached-query-name\")\n\n\nOverwriting event timestamps\n''''''''''''''''''''''''''''\n\nTwo time-related properties are included in your event automatically. The properties \u201ckeen.timestamp\u201d\nand \u201ckeen.created_at\u201d are set at the time your event is recorded. You have the ability to overwrite the\nkeen.timestamp property. This could be useful, for example, if you are backfilling historical data. Be\nsure to use `ISO-8601 Format `_.\n\nKeen stores all date and time information in UTC!\n\n.. code-block:: python\n\n keen.add_event(\"sign_ups\", {\n \"keen\": {\n \"timestamp\": \"2012-07-06T02:09:10.141Z\"\n },\n \"username\": \"lloyd\",\n \"referred_by\": \"harry\"\n })\n\n\nGet from Keen IO with a Timeout\n'''''''''''''''''''''''''''''''\n\nBy default, GET requests will timeout after 305 seconds. If you want to manually override this, you can\ncreate a KeenClient with the \"get_timeout\" parameter. This client will fail GETs if no bytes have been\nreturned by the server in the specified time. For example:\n\n.. code-block:: python\n\n from keen.client import KeenClient\n\n client = KeenClient(\n project_id=\"xxxx\",\n write_key=\"yyyy\",\n read_key=\"zzzz\",\n get_timeout=100\n )\n\n\nThis will cause queries such as count(), sum(), and average() to timeout after 100 seconds. If this timeout\nlimit is hit, a requests.Timeout will be raised. Due to a bug in the requests library, you might also see an\nSSLError (`#1294 `_)\n\nSend to Keen IO with a Timeout\n''''''''''''''''''''''''''''''\n\nBy default, POST requests will timeout after 305 seconds. If you want to manually override this, you can\ncreate a KeenClient with the \"post_timeout\" parameter. This client will fail POSTs if no bytes have been\nreturned by the server in the specified time. For example:\n\n.. code-block:: python\n\n from keen.client import KeenClient\n\n client = KeenClient(\n project_id=\"xxxx\",\n write_key=\"yyyy\",\n post_timeout=100\n )\n\n\nThis will cause both add_event() and add_events() to timeout after 100 seconds. If this timeout limit is hit, a requests.Timeout will be raised. Due to a bug in the requests library, you might also see an SSLError (https://github.com/kennethreitz/requests/issues/1294)\n\nCreate Access Keys\n''''''''''''''''''\n\nThe Python client enables the creation and manipulation of `Access Keys `_. Examples:\n\n.. code-block:: python\n\n from keen.client import KeenClient\n # You could also simply use: import keen\n # If you do this, you will need your project ID and master key set in environment variables.\n\n client = KeenClient(\n project_id=\"xxxx\",\n master_key=\"zzzz\"\n )\n\n # Create an access key. See: https://keen.io/docs/access/access-keys/#customizing-your-access-key\n client.create_access_key(name=\"Dave_Barry_Key\", is_enabled=True, permitted=[\"writes\", \"cached_queries\"],\n options={\"cached_queries\": {\"allowed\": [\"dave_barry_in_cyberspace_sales\"]}})\n\n # Display all access keys associated with this client's project.\n client.list_access_keys()\n\n # Get details on a particular access key.\n client.get_access_key(access_key_id=\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\")\n\n # Revoke (disable) an access key.\n client.revoke_access_key(access_key_id=\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\")\n\n # Unrevoke (re-enable) an access key.\n client.unrevoke_access_key(access_key_id=\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\")\n\n # Change just the name of an access key.\n client.update_access_key_name(access_key_id=\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\", name=\"Some_New_Name\")\n\n # Add new access key permissions to existing permissions on a given key.\n # In this case the set of permissions currently contains \"writes\" and \"cached_queries\".\n # This function call keeps the old permissions and adds \"queries\" to that set.\n # (\"writes\", \"cached_queries\") + (\"queries\") = (\"writes\", \"cached_queries\", \"queries\")\n client.add_access_key_permissions(access_key_id=\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\", permissions=[\"queries\"])\n\n # Remove one or more access key permissions from a given key.\n # In this case the set of permissions currently contains \"writes\", \"cached_queries\", and \"queries\".\n # This function call will keep the old permissions not explicitly removed here.\n # So we will remove both \"writes\" and \"queries\" from the set, leaving only \"cached_queries\".\n # (\"writes\", \"cached_queries\", \"queries\") - (\"writes\", \"queries\") = (\"cached_queries\")\n client.remove_access_key_permissions(access_key_id=\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\", permissions=[\"writes\", \"queries\"])\n\n # We can also perform a full update on the permissions, replacing all existing permissions with a new list.\n # In this case our existing permissions contains only \"cached_queries\".\n # We will replace this set with the \"writes\" permission with this function call.\n # (\"cached_queries\") REPLACE-WITH (\"writes\") = (\"writes\")\n client.update_access_key_permissions(access_key_id=\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\", permissions=[\"writes\"])\n\n # Replace all existing key options with this new options object.\n client.update_access_key_options(access_key_id=\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\", options={\"writes\": {\n \"autofill\": {\n \"customer\": {\n \"id\": \"93iskds39kd93id\",\n \"name\": \"Ada Corp.\"\n }\n }\n }})\n\n # Replace everything but the key ID with what is supplied here.\n # If a field is not supplied here, it will be set to a blank value.\n # In this case, no options are supplied, so all options will be removed.\n client.update_access_key_full(access_key_id=\"ABCDEFGHIJKLMNOPQRSTUVWXYZ\", name=\"Strong_Bad\", is_active=True, permitted=[\"queries\"])\n\n\nCreate Scoped Keys (**Deprecated**)\n''''''''''''''''''\n\nThe Python client enables you to create `Scoped Keys `_ easily, but Access Keys are better! \nIf you need to use them anyway, for legacy reasons, here's how:\n\n.. code-block:: python\n\n from keen.client import KeenClient\n from keen import scoped_keys\n\n api_key = KEEN_MASTER_KEY\n\n write_key = scoped_keys.encrypt(api_key, {\"allowed_operations\": [\"write\"]})\n read_key = scoped_keys.encrypt(api_key, {\"allowed_operations\": [\"read\"]})\n\n\n`write_key` and `read_key` now contain scoped keys based on your master API key.\n\nTesting\n-------\n\nTo run tests:\n\n::\n\n python setup.py test\n\n\nChangelog\n---------\n\nThis project is in alpha stage at version 0.5.1 . See the full CHANGELOG `here <./CHANGELOG.rst>`_.\n\n\nQuestions & Support\n-------------------\n\nIf you have any questions, bugs, or suggestions, please\nreport them via Github `Issues <./issues>`_. We'd love to hear your feedback and ideas!\n\nContributing\n------------\n\nThis is an open source project and we love involvement from the community! Hit us up with pull requests and issues. \n\n`Learn more about contributing to this project <./CONTRIBUTING.md>`_.\n\n.. |build-status| image:: https://img.shields.io/travis/keenlabs/KeenClient-Python.svg?maxAge=600\n :target: http://travis-ci.org/keenlabs/KeenClient-Python\n :alt: Build status\n\n.. |pypi-version| image:: https://img.shields.io/pypi/v/keen.svg?maxAge=600 \n :target: https://pypi.python.org/pypi/keen/\n :alt: Keen on PyPI\n",
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