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    "info": {
        "author": "Seth Jensen",
        "author_email": "sjensen85@gmail.com",
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        "description": "# dtest\n\n[![CircleCI](https://circleci.com/gh/sjensen85/dtest/tree/master.svg?style=svg)](https://circleci.com/gh/sjensen85/dtest/tree/master)\n[![Requirements Status](https://requires.io/github/sjensen85/dtest/requirements.svg?branch=master)](https://requires.io/github/sjensen85/dtest/requirements/?branch=master)\n\nA library to facilitate the testing of data inside data pipelines. Results are pushed to a messaging queue of some sort for consumption by applications, persistence, etc.\n\nSupported messaging queues / streaming platforms\n\n- [x] RabbitMQ\n- [ ] MQTT\n- [ ] Redis\n- [ ] Kafka\n- [ ] Kinesis\n\nSupported secrets managers\n\n- [x] AWS Secrets Manager\n- [ ] Hashicorp Vault\n\n## Installation\n\n`pip3 install dtest-framework`\n\n## Unit Tests\n\nTesting is set up using Pytest\n\nInstall Pytest with `pip3 install -U pytest`\n\nRun the tests with `pytest` in the root directory.\n\n## Quick Start\n\n```\nfrom dtest.dtest import Dtest\nfrom hamcrest import *\n\n\n# If publishing to a RabbitMQ queue, specify 'queue' \\\n# If publishing to a key-value store, specify 'kv-store' \\\n# Or specify both\n\nconnectionConfig = {\n    \"queue\": {\n        \"host\": \"localhost\",\n        \"username\": \"guest\",\n        \"password\": \"guest\",\n        \"exchange\": \"test.dtest\",\n        \"exchange_type\": \"fanout\"\n    },\n    \"kv-store\": {\n        \"api_url\": \"localhost:8080/api/\",\n        \"retrieve_path\": \"getKeyValue/\",\n        \"publish_path\": \"postKeyValue/\"\n    }\n}\nmetadata = {\n    \"description\": \"This is a test of the assertCondition\",\n    \"topic\": \"test.dtest\",\n    \"ruleSet\": \"Testing some random data\",\n    \"dataSet\": \"random_data_set_123912731.csv\"\n}\n\ndt = Dtest(connectionConfig, metadata)\n\ndsQubert = [0,1]\n\ndt.assert_that(dsQubert, has_length(2))\n// True\n\ndt.publish()\n// Publishes test suite to MQ server\n\n\n////////////////////////////////////////\n// Store value in KV store for later use\ndt.publishKeyValue('some-descriptor-dsQubert-length', len(dqQubert))\n\n// Retrieve value from KV store to compare other files against\navg_count = dt.retrieveKeyValue('some-descriptor-dsQubert-length')\n\ndt.assert_that(dsQubert, has_length(avg_count))\n```\n\n## Connection configuration\n\nThere are two options for providing the connection configuration for the publisher - the default way described above and by storing your configuration in a secrets manager. To utilize a secrets manager, use a connectionConfig similar to:\n\n```\nconnectionConfig = {\n    \"queue\": {\n        \"vault\": {\n                    \"provider\": \"aws_secrets_manager\",\n                    \"secret_name\": \"secret_name_here\",\n                    \"region\": \"us-east-1\"\n                }\n    }\n}\n```\n\nHere we are giving the provider name `aws_secrets_manager`, the key to use to retrieve the secret `secret_name`, and the region in which Secrets Manager is hosted. `secret_name` and `region` are passed to `boto3` directly. `region_name` is provided when initializing the `boto3` session and `secret_name` is provided to the `boto3.secretsmanager.get_secret_value()` function as `SecretId`.\n\n## Custom handlers\n\nIt is possible to create custom message queue and key value store handlers. Implement a class that inherits from `dtest.handler.MqHandler` or `dtest.handler.KvHandler` depending on your needs.\n\n```\n\nclass MqHandler:\n\n    @classmethod\n    def version(self): return \"1.0\"\n\n    @abstractmethod\n    def connect(self): raise NotImplementedError\n\n    @abstractmethod\n    def publishResults(self): raise NotImplementedError\n\n    @abstractmethod\n    def closeConnection(self): raise NotImplementedError\n\n\nclass KvHandler:\n\n    @classmethod\n    def version(self): return \"1.0\"\n\n    @abstractmethod\n    def retrieve(self): raise NotImplementedError\n\n    @abstractmethod\n    def publish(self): raise NotImplementedError\n\n```\n\n## Package dependencies\n\nI did not want to require that all dependencies of every module need to be installed. As such, the following packages need to be installed via `pip` if you would like to utilize the specified functionality\n\n| Package | Dependent module/functionality |\n| ------- | ------------------------------ |\n| boto3   | `vaults.secretsmanager`        |\n|         |                                |\n| pandas  | Local testing with `pytest`    |\n\n#### CI/CD\n\n- Use the standard `ecs` labeled Jenkins agent\n- Performs tests on master commits and PRs\n- Does not deploy to PyPI automatically\n\n",
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