{
    "info": {
        "author": "Gavin Zhang",
        "author_email": "gavinz0228@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS :: MacOS X",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: Python :: 3"
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        "description": "# pifetcher\nA scalable headless data fetching library written with python and message queue service to enable quickly and easily parsing web data in a distributive way.\n\n## To install\n```\npip install pifetcher\n```\n\n## PYPI Link  [https://pypi.org/project/pifetcher/](https://pypi.org/project/pifetcher/)\n\n## dependencies:\n- selenium\n- BeautifulSoup4\n- boto3 (optional but by default)\n- ChromeDriver for chrome 76(by default)\n- Chrome executable v 76(by default)\n\n## features:\n\n- event-callback-based interaction between user defined logic and the pre-disigned fetch worker\n- process works in batches, library user will be able to capture the event of a batch of works have been finished\n- easy to use, only needs to inherit the FetchWorker class and implement the basic call back functions\n- it's design to use message queue, enbles more than just one worker to perform data fetching in order to scale the application \n\n## how to use:\n\n1. set up work queue component on the host computer(aws simple queue service by default), such as credentials, regions\n[AWS BOTO3 initial set up docs](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/quickstart.html)\n\n2. configure a fetcher by creating a field mapping config file, for example:\ncreate a mapping config file for fetching amazon.com item pricing data\n\n```javascript\n{\n    \"price\": {\n        \"type\": \"text\",\n        \"selector\": \"#priceblock_ourprice\",\n        \"attribute\":\".text\"\n    },\n    \"id\": {\n        \"type\": \"text\",\n        \"selector\": \"#ASIN\",\n        \"attribute\": \"value\"\n    },\n    \"title\": {\n        \"type\": \"text\",\n        \"selector\": \"#productTitle\",\n        \"attribute\":\".text\"\n    }\n}\n```\n3. create a pifetcherConfig.json file, and add the fetcher mapping file that previously created to fetcher -> mappingConfigs with its name and file path \n\nnumWorksPerTime : defines the number of messages it try to fetch from the queue per work cycle\npollingIntervalOnActive : time interval before fetching the next message when the worker status is active(meaning it fetched at least on message in the last worker cycle)\npollingIntervalOnIdle : time interval before fetching the next message when the worker status is active(meaning it fetched no message in the last worker cycle)\n\n```javascript\n{\n    \"browser\":{\n        \"browser_options\":[\"--window-size=1920,1080\", \"--disable-extensions\", \"--proxy-server='direct://'\", \"--proxy-bypass-list=*\", \"--start-maximized\",\"--ignore-certificate-errors\", \"--headless\"],\n        \"win-driver_path\":\"chromedriver-win-76.exe\",\n        \"win-binary_location\": \"\",\n        \"mac-driver_path\":\"chromedriver-mac-76\",\n        \"mac-binary_location\": \"\"\n\n    },\n    \"queue\":\n    {\n        \"numWorksPerTime\": 1,\n        \"queueType\":\"AWSSimpleQueueService\",\n        \"queueName\":\"datafetch.fifo\",\n        \"pollingIntervalOnActive\": 0.2,\n        \"pollingIntervalOnIdle\": 60\n    },\n    \"logger\":\n    {\n        \"output\":\"console\"\n    },\n    \"fetcher\":\n    {\n        \"mappingConfigs\":{\n            \"amazon\":\"amazon.json\"\n        }\n\n    }\n}\n```\n4.  to use the fetcher worker\n- import the fetcher worker class and config class \n```python\nfrom pifetcher.core import Config\nfrom pifetcher.core import FetchWorker\n```\n- load the pifetherConfig.json to the Config class\n```python\nConfig.use('pifetcherConfig.json')\n```\n\n- implement event function with your own logic\non_save_result : this will be called when a data object has been successfully parsed\non_empty_result_error: this will be called after parsing an empty object, you may want to stop/ pause the process to investigate the problem before continuing parsing\non_batch_start: this will be called when the worker received a batch start signal , you may implement your logic of adding fetching tasks to the queue here\non_batch_finish: this will be called when the worker received a batch finish signal\nexample:\n```python\n    def on_save_result(self, result, batch_id, work):\n        print(result, batch_id, work)\n    def on_empty_result_error(self):\n        self.stop()\n    def on_batch_start(self, batch_id):\n        work = {}\n        work['url'] = 'a amazon url'\n        work['fetcherName'] = 'amazon'\n        self.add_works([work])\n    def on_batch_finish(self, batch_id):\n        print(f\"all works with the batchId {batch_id} have been processed\")\n```\n5. Run the worker and, send a StartProcess Signal to the queue to start the process\n\n- start the worker to receive and process works\n\n```python\ntw = TestWorker()\ntw.do_works()\n```\n\n- to send a start signal to the queue\nIf you want to send out the start signal from one of the worker, you can call this function\n```python\ntw.send_start_signal()\n```\n\nBut if you want to start the batch process from another system, you can use the code below\n```python\n    sqs = boto3.resource('sqs')\n    queue = sqs.get_queue_by_name(QueueName='datafetch.fifo')\n    content = {\"type\":\"BatchStart\",\"batchId\": str(uuid.uuid4()),\"content\":{}}\n    queue.send_message(MessageBody=json.dumps(content), MessageGroupId = \"FetchWork\", MessageDeduplicationId = str(time.time()).replace(\".\",\"\"))\n\n``` \n\nCommand to exit all chromedriver in windows\n```\ntaskkill /f /im chromedriver-win-76.exe\n```\n\n# How to optimized the number of polls the worker has to send to the queue\n\nWhen no message was fetched in a worker cycle, it would enter the idle state. Under the idle state, it's supposed to wait a longer time interval before trying to fetch the next message. This sleep interval is defined in the config file at the location:\n```javascript\n        \"pollingIntervalOnIdle\": 60\n```\n\nAfter the worker received at least one mssage in a worker cycle, the worker status will be set as ACTIVE. Under this state, it's supposed to wait a shorter time interval before trying to fetch the next message. This sleep interval is defined in the config file at the location:\n```javascript\n        \"pollingIntervalOnActive\": 0.2,\n```\n\n\n### To do list items:\n- fix browser driver issues\n- simplify initial setup process\n\n### Completed items:\n- use better strategy to reduce number of requests a worker has to send\n- put all constants in config the config file (checked)\n- complete the type conversions for different data types (checked)\n- add message type (work initiation message type) (checked)\n- logging (checked)\n- data fetching with use of aws sqs\n\n",
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