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5d45569651
...
2f8ead3964
17
mongo/cli.py
17
mongo/cli.py
@ -2,7 +2,6 @@ import click
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import mongocrawler
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import mongocrawler
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import rq
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import rq
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import redis
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import redis
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import json
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import sys
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import sys
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import os
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import os
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import pymongo
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import pymongo
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@ -70,8 +69,7 @@ def sample(domain):
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myclient = pymongo.MongoClient(CONNECTION)
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myclient = pymongo.MongoClient(CONNECTION)
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db=myclient[DBNAME]
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db=myclient[DBNAME]
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links = mongocrawler.sample_links(db,domain,"frontlink",BATCH_SIZE)
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links = mongocrawler.sample_links(db,domain,"frontlink",BATCH_SIZE)
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for link in links:
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print(links)
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print(link)
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@cli.command()
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@cli.command()
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@click.argument("start_link")
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@click.argument("start_link")
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@ -88,18 +86,17 @@ def fetchlinks(start_link):
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@cli.command()
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@cli.command()
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@click.argument("hostname")
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@click.argument(hostname)
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def processlinks(hostname):
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def process_links():
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rules = mongocrawler.fetch_robot(hostname)
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rules = mongocrawler.fetch_robot(hostname)
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outfile = "data.jsonl"
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outfile = "data.jsonl"
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links = []
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links = []
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for line in sys.stdin:
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for line in sys.stdin:
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links.append(line.rstrip())
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links.append(line.rstrip())
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extracted_pages, extracted_links = mongocrawler.fetch_and_extract(links,rules)
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extracted_pages, extracted_links = fetch_and_extract(links,rules)
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with open(outfile,"w") as of:
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for page in extracted_pages:
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for page in extracted_pages:
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print(page)
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doc = json.dumps(page)
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pass
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print(page,file=of)
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@cli.command(help="Enqueue a list of links into redis queue for crawling")
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@cli.command(help="Enqueue a list of links into redis queue for crawling")
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@ -530,6 +530,7 @@ def link_summary(db,hostname):
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print(res)
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print(res)
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def sample_links(db,hostname,status,batch_size):
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def sample_links(db,hostname,status,batch_size):
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print("Sampling links")
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linkcol = db["links"]
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linkcol = db["links"]
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res = linkcol.find({"host":hostname,"status": {"$not":{"$in":["frontlink"]}}})
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res = linkcol.find({"host":hostname,"status": {"$not":{"$in":["frontlink"]}}})
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cl = LinkClassifier()
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cl = LinkClassifier()
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@ -662,7 +663,6 @@ def classify(start_link):
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cl.train(trainset)
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cl.train(trainset)
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cl.test(testset)
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cl.test(testset)
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def index_pages(db,hostname,extracted_pages,filter_content):
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def index_pages(db,hostname,extracted_pages,filter_content):
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final_states = []
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final_states = []
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docs = []
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docs = []
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@ -707,16 +707,6 @@ def visit(hostname,filter_content=True):
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print("Processing links")
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print("Processing links")
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extracted_pages, extracted_links = fetch_and_extract(links,rules)
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extracted_pages, extracted_links = fetch_and_extract(links,rules)
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extracted_links = extract_links(links,responses,hostname,rules,"frontlink")
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index_links(db,extracted_links)
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final_states = []
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docs = []
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for original_link,final_link,html,doc in extracted_pages:
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status = index_page(db,original_link,final_link,html,doc,filter_content)
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final_states.append(status)
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docs.append(doc)
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save_batch_info(db,hostname,final_states,docs)
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index_pages(db,hostname,extracted_pages,filter_content)
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index_pages(db,hostname,extracted_pages,filter_content)
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index_links(db, extracted_links)
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index_links(db, extracted_links)
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link_summary(db,hostname)
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link_summary(db,hostname)
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