├── .gitignore ├── LICENSE ├── README.md ├── docker-compose.yml ├── es_loader ├── __init__.py └── es_loader.py ├── requirements.txt ├── setup.py ├── shes.py └── tox.ini /.gitignore: -------------------------------------------------------------------------------- 1 | *.env 2 | *__pycache__* 3 | *.pyc 4 | *elk-data* 5 | *.egg-info 6 | *.tox 7 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. 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Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Load items from Scrapy Cloud to ElasticSearch instance 2 | 3 | ## Installation 4 | Install dependencies: 5 | ```bash 6 | virtualenv venv 7 | source venv/bin/activate 8 | pip install . 9 | ``` 10 | 11 | Also you need to install ElasticSearch, or install docker and docker-compose to use the `docker-compose.yml` config from this project. 12 | ## Usage 13 | 14 | ### Fire up ElasticSearch 15 | Launch it if you have local installation and make sure that it's running or use a configuration from this project and run ElasticSearch and Kibana with command: 16 | ``` 17 | docker-compose up -d 18 | ``` 19 | 20 | ### Set environmental variables 21 | In order to use this script you need you [Scrapy Cloud API key](https://app.scrapinghub.com/account/apikey), add it to environmenatal variable `SH_APIKEY`: 22 | ```bash 23 | export SH_APIKEY="your_key" 24 | ``` 25 | 26 | ### Run script 27 | The project has a command line interface "shes" (ScrapingHub - ElasticSearch), try running it and see a help message: 28 | ```bash 29 | $ ./shes.py -h 30 | Download items to ElasticSearch. 31 | 32 | usage: shes.py -j JOB_ID [-e ELASTICSEARCH_URL] [-i INDEX] [-t DOC_TYPE] [-h] 33 | 34 | Download items from Scrapinhub cloud and upload them to ElasticSearch index. 35 | 36 | optional arguments: 37 | -h, --help show this help message and exit 38 | -j JOB_ID, --job_id JOB_ID Required Scrapy Cloud job idetentifier 39 | -e ELASTICSEARCH_URL, --elasticsearch ELASTICSEARCH_URL URL of ElasticSearch instance, [default: localhost:9200] 40 | -i INDEX, --index index Index name, defaults to job_id 41 | -t DOC_TYPE, --type DOC_TYPE Document type, [default: product] 42 | ``` 43 | -------------------------------------------------------------------------------- /docker-compose.yml: -------------------------------------------------------------------------------- 1 | version: '3.3' 2 | services: 3 | elasticsearch: 4 | image: docker.elastic.co/elasticsearch/elasticsearch:7.4.0 5 | container_name: elasticsearch 6 | environment: 7 | - node.name=elasticsearch 8 | - cluster.name=docker-cluster 9 | - cluster.initial_master_nodes=elasticsearch 10 | - bootstrap.memory_lock=true 11 | - "ES_JAVA_OPTS=-Xms256M -Xmx256M" 12 | - http.cors.enabled=true 13 | - http.cors.allow-origin=* 14 | - network.host=_eth0_ 15 | ulimits: 16 | nproc: 65535 17 | memlock: 18 | soft: -1 19 | hard: -1 20 | cap_add: 21 | - ALL 22 | volumes: 23 | - type: volume 24 | source: logs 25 | target: /var/log 26 | - type: volume 27 | source: elk-data 28 | target: /usr/share/elasticsearch/data 29 | networks: 30 | - elastic 31 | ports: 32 | - 9200:9200 33 | - 9300:9300 34 | kibana: 35 | image: docker.elastic.co/kibana/kibana:7.4.0 36 | container_name: kibana 37 | environment: 38 | SERVER_NAME: localhost 39 | ELASTICSEARCH_URL: http://elasticsearch:9200/ 40 | ports: 41 | - 5601:5601 42 | volumes: 43 | - type: volume 44 | source: logs 45 | target: /var/log 46 | ulimits: 47 | nproc: 65535 48 | memlock: 49 | soft: -1 50 | hard: -1 51 | cap_add: 52 | - ALL 53 | networks: 54 | - elastic 55 | volumes: 56 | elk-data: 57 | logs: 58 | 59 | networks: 60 | elastic: 61 | -------------------------------------------------------------------------------- /es_loader/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/al-serebrov/scrapinghub-elasticsearch-loader/47efb073d043930f520b4d33a55443fdb2f4dc9e/es_loader/__init__.py -------------------------------------------------------------------------------- /es_loader/es_loader.py: -------------------------------------------------------------------------------- 1 | from elasticsearch import helpers 2 | import logging 3 | from typing import Iterable 4 | 5 | 6 | logger = logging.getLogger('es_loader') 7 | logger.setLevel(level=logging.DEBUG) 8 | 9 | # create console handler and set level to info 10 | ch = logging.StreamHandler() 11 | ch.setLevel(logging.DEBUG) 12 | 13 | # create formatter 14 | formatter = logging.Formatter( 15 | '%(asctime)s - %(name)s - %(levelname)s - %(message)s' 16 | ) 17 | 18 | # add formatter to console and file handlers 19 | ch.setFormatter(formatter) 20 | 21 | # add ch and fh to logger 22 | logger.addHandler(ch) 23 | 24 | 25 | class ESPipeline(object): 26 | """ElasticSearch pipeline to load items to ElasticSearch instance. 27 | 28 | Use this class to load items downloaded from ScrapingHub API to 29 | ElasticSearch instance. Items are lazy-loaded using SH API, split 30 | into batches and loaded to ElasticSearch. 31 | """ 32 | 33 | def __init__( 34 | self, sc, es, 35 | job_id: str, index: str = None, doc_type: str = 'product', 36 | base_buffer_size: int = 5000, max_buffer_size: int = 20000 37 | ) -> None: 38 | """Constructor. 39 | 40 | Arguments: 41 | sc - an instance of ScrapinghubClient created with API key. 42 | es - an instance of Elasticsearh created with ES URI. 43 | job_id - job_id from Scrapy Cloud in format of 44 | orgranization/project/job, e.g.: '1886/5454/43' 45 | index - ElasticSearch index name, defaults to None 46 | doc_type - ElasticSearch document type name 47 | base_buffer_size - base buffer size which would be a 48 | starting point for buffer size calculation 49 | max_buffer_size - maximal buffer size allowed, note 50 | that it should be evenly devisible by base buffer size, i.e. 51 | max_buffer_size % base_buffer_size = 0 52 | Default limit is 20k, but if you have a lot of available RAM 53 | it could be as high as you need it to. 54 | """ 55 | self.sc = sc 56 | self.es = es 57 | self.job_id = job_id 58 | self.index_name = index 59 | self.doc_type = doc_type 60 | self.loaded_items_count = 0 61 | self.base_buffer_size = base_buffer_size 62 | self.max_buffer_size = max_buffer_size 63 | self._create_index() 64 | 65 | def _create_index(self) -> None: 66 | """Create index in the ElasticSearch. 67 | 68 | If index name is not set in the constructor, the method uses 69 | job ID to compose an index name by replacing slashes to underscores. 70 | For example, for the job with ID '1886/5454/43' the resulting index 71 | name would be 1886_5454_43. 72 | Also, this method checks if the index already exists and deletes it. 73 | 74 | TODO: 75 | - add the parameter to update index, not recreate it if needed 76 | """ 77 | if not self.index_name: 78 | self.index_name = self.job_id.replace('/', '_') 79 | if self.es.indices.exists(self.index_name): 80 | logger.warning('Index already exists, deleting it') 81 | self.es.indices.delete(self.index_name, ignore=[400, 404]) 82 | self.es.indices.create(self.index_name) 83 | logger.debug('Index created') 84 | 85 | def _get_items(self) -> Iterable: 86 | """Get items from Scrapy Cloud. 87 | 88 | Besides getting items this method also gets job metadata, 89 | extracts items count and calls method to calculate buffer size. 90 | 91 | Returns: 92 | items - an iterator with items. 93 | 94 | Raises: 95 | ValueError - if the method is unable to get items count. 96 | """ 97 | job = self.sc.get_job(self.job_id) 98 | metadata = job.metadata.list() 99 | 100 | items_count = 0 101 | for data in metadata: 102 | if data[0] == 'scrapystats': 103 | items_count = data[1]['item_scraped_count'] 104 | 105 | if not items_count: 106 | raise ValueError('Unable to get items count for job stats') 107 | 108 | logger.debug( 109 | 'There are {} items scraped. Downloading...'.format(items_count) 110 | ) 111 | 112 | self._calculate_buffer_size(items_count, self.base_buffer_size) 113 | logger.debug('Batch size is set to {}'.format(self.buffer_size)) 114 | 115 | items = job.items.iter() 116 | return items 117 | 118 | def _calculate_buffer_size( 119 | self, items_count: int, base_buffer_size: int) -> None: 120 | """Calculate buffer size. 121 | 122 | Hardcoded buffer size doesn't work as there might be jobs with 123 | very different amount of items - from 100 to 100k, and it's better 124 | to make it more adjustable. 125 | If the job items count is smaller than base buffer size, the 126 | method will use number from base_buffer_size attribute as buffer size, 127 | and otherwise - if items count is much greater than base buffer size, 128 | the method starts enlarging it, but it's limited by max_buffer_size 129 | attibute - this is done to avoid having huge batches 130 | to be processed in memory. 131 | 132 | Arguments: 133 | items_count - integer with job items count 134 | base_buffer_size - starting point for buffer size calculation. 135 | """ 136 | buf = items_count // base_buffer_size 137 | if buf > 5 and base_buffer_size < self.max_buffer_size: 138 | self._calculate_buffer_size(items_count, base_buffer_size * 2) 139 | else: 140 | self.buffer_size = base_buffer_size 141 | 142 | def process_items(self) -> None: 143 | """Entry point to the whole process. 144 | Calls all methods in order to process items of the job. 145 | """ 146 | batch = [] 147 | for item in self._get_items(): 148 | 149 | index_action = { 150 | '_op_type': 'index', 151 | '_index': self.index_name, 152 | '_type': self.doc_type, 153 | 'doc': dict(item) 154 | } 155 | 156 | batch.append(index_action) 157 | 158 | # if we accumulated enough items, send them in a bulk: 159 | if len(batch) >= self.buffer_size: 160 | self._bulk_send_items(batch) 161 | batch = [] 162 | 163 | # If there are any items left, send them in a bulk: 164 | if len(batch) > 0: 165 | self._bulk_send_items(batch) 166 | 167 | def _bulk_send_items(self, batch) -> None: 168 | """Bulk send items to ElasticSearch.""" 169 | self.loaded_items_count += len(batch) 170 | logger.debug('Bulk writing {} items'.format(len(batch))) 171 | helpers.bulk(client=self.es, actions=batch) 172 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | backcall==0.1.0 2 | certifi==2018.8.24 3 | chardet==3.0.4 4 | decorator==4.3.0 5 | docopt==0.6.2 6 | elasticsearch==6.3.1 7 | fancycompleter==0.8 8 | idna==2.7 9 | ipdb==0.11 10 | ipython==7.2.0 11 | ipython-genutils==0.2.0 12 | jedi==0.13.2 13 | msgpack-python==0.5.6 14 | parso==0.3.1 15 | pdbpp==0.9.3 16 | pexpect==4.6.0 17 | pickleshare==0.7.5 18 | prompt-toolkit==2.0.7 19 | ptyprocess==0.6.0 20 | Pygments==2.7.4 21 | requests==2.21.0 22 | retrying==1.3.3 23 | scrapinghub==2.0.3 24 | six==1.11.0 25 | traitlets==4.3.2 26 | urllib3==1.26.5 27 | wcwidth==0.1.7 28 | wmctrl==0.3 29 | flake8 30 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | """A setuptools based setup module. 2 | """ 3 | 4 | from setuptools import setup, find_packages 5 | from os import path 6 | 7 | here = path.abspath(path.dirname(__file__)) 8 | 9 | # Get the long description from the README file 10 | with open(path.join(here, 'README.md'), encoding='utf-8') as f: 11 | long_description = f.read() 12 | 13 | setup( 14 | name='shes', 15 | version='0.5', 16 | description='Load items from Scrapy Cloud do ElasticSearch', 17 | long_description=long_description, 18 | long_description_content_type='text/markdown', 19 | url='https://github.com/al-serebrov/scrapinghub-elasticsearch-loader', 20 | author='Alexander Serebrov', 21 | author_email='serebrov.alexandr@gmail.com', 22 | classifiers=[ 23 | 'Development Status :: 4 - Beta', 24 | 'Intended Audience :: Developers', 25 | 'Topic :: Scientific/Engineering :: Information Analysis', 26 | 'License :: OSI Approved :: GNU General Public License v3 (GPLv3)', 27 | 'Programming Language :: Python :: 3.5', 28 | 'Programming Language :: Python :: 3.6', 29 | 'Programming Language :: Python :: 3.7', 30 | ], 31 | keywords='scrapy cloud scrapinghub elasticsearch loader', 32 | packages=find_packages(exclude=['contrib', 'docs', 'tests']), 33 | python_requires='>=3.5', 34 | install_requires=[ 35 | 'docopt==0.6.2', 36 | 'elasticsearch==6.3.1', 37 | 'msgpack-python==0.5.6', 38 | 'requests==2.21.0', 39 | 'scrapinghub==2.0.3', 40 | 'six==1.11.0', 41 | 'flake8' 42 | ] 43 | ) 44 | -------------------------------------------------------------------------------- /shes.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | """Download items to ElasticSearch. 4 | 5 | usage: shes.py -j JOB_ID [-e ELASTICSEARCH_URL] [-i INDEX] [-t DOC_TYPE] [-h] 6 | 7 | Download items from Scrapinhub cloud and upload them to ElasticSearch index. 8 | 9 | optional arguments: 10 | -h, --help show this help message and exit 11 | -j JOB_ID, --job_id JOB_ID Required Scrapy Cloud job idetentifier 12 | -e ELASTICSEARCH_URL, --elasticsearch ELASTICSEARCH_URL URL of ElasticSearch instance, [default: localhost:9200] 13 | -i INDEX, --index index Index name, defaults to job_id 14 | -t DOC_TYPE, --type DOC_TYPE Document type, [default: product] 15 | 16 | """ 17 | import os 18 | from docopt import docopt 19 | from elasticsearch import Elasticsearch 20 | from scrapinghub import ScrapinghubClient 21 | from es_loader.es_loader import ESPipeline 22 | 23 | arguments = docopt(__doc__) 24 | 25 | es = arguments.get('--elasticsearch') 26 | job_id = arguments.get('--job_id') 27 | index = arguments.get('--index') 28 | doc_type = arguments.get('--type') 29 | api_key = os.environ.get('SH_APIKEY') 30 | 31 | es = Elasticsearch([es]) 32 | sc = ScrapinghubClient(api_key) 33 | 34 | es_pipe = ESPipeline( 35 | sc=sc, 36 | es=es, 37 | job_id=job_id, 38 | index=index, 39 | doc_type=doc_type 40 | ).process_items() 41 | -------------------------------------------------------------------------------- /tox.ini: -------------------------------------------------------------------------------- 1 | [tox] 2 | envlist = py36,py36,py37 3 | 4 | [testenv] 5 | deps = 6 | -r{toxinidir}/requirements.txt 7 | whitelist_externals = flake8 8 | commands = 9 | flake8 --ignore=E501 10 | --------------------------------------------------------------------------------