From 9f4c07024e685235cb10e7f6e0d9a9090c771532 Mon Sep 17 00:00:00 2001
From: bnewbold <bnewbold@robocracy.org>
Date: Wed, 11 May 2011 22:49:11 -0400
Subject: WIP: new scraper stuff, should be a branch

---
 piccast/scrapers.py | 226 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 226 insertions(+)
 create mode 100644 piccast/scrapers.py

(limited to 'piccast/scrapers.py')

diff --git a/piccast/scrapers.py b/piccast/scrapers.py
new file mode 100644
index 0000000..933c54c
--- /dev/null
+++ b/piccast/scrapers.py
@@ -0,0 +1,226 @@
+
+# Pulls in helpers as well as utility libraries
+from scrape_helpers import *
+
+# Pulls in the PicCast model objects (PicFeed, PicSet, and Pic)
+from feeds.models import *
+
+from django.utils.html import strip_tags
+
+"""
+This file contains a set of scraper functions, one for each PicCast feed.
+Helper functions are defined in scrape_helpers.py; when run as a django command
+this file is included from scrape_feeds.py. 
+
+The general pattern for each scraper is shown below. Note that neither pics nor
+sets are saved by this function::
+
+    def scrape_examplefeed(PicFeed):
+        sets_data = fetch_data(PicFeed.uri)
+        sets = sets_from_data(sets_data)
+        filter(sets)
+        foreach(sets):
+            set = modifcations(set)
+            pic_data = fetch_data(set)
+            pics = pics_from_data(pic_data)
+            filter(pics)
+            set.pics = pics
+            good_sets.append(set)
+        return (good_sets)
+
+It is difficult to generalize too much further because there are several source
+data types for both feeds of PicSets and the list of pictures themselves. For
+example, some of the known patterns which need to be accomodated are: 
+
+    rss -> sets, foreach inline html -> pics
+    rss -> sets, foreach html -> pics
+    json -> sets, foreach rss -> pics
+    json -> sets, foreach json -> pics
+    html -> sets, foreach html -> pics
+
+To add a new scraper, first add the PicFeed to the local database, setting
+is_active to True. Then create a scrape_<shortname>() method (copy one of the
+below) and modify the parameters and dataflow to suit that PicFeed. Test by
+running a django shell ("./manage.py shell"), import the scrapers ("run
+scrapers.py"), and then run a test for that one feed
+("test_scrapers(name='shortname')"). You'll need to download some test
+RSS/HTML/whatever to test with and put it in ../example_feed_data/. 
+
+"""
+
+def save_sets(sets):
+    print "Saving " + str(len(sets)) + " new PicSets..."
+    for s in sets:
+        print " - " + str(s) + " with " + str(len(s.pics)) + " pics"
+        s.save()
+        for p in s.pics:
+            p.set = s
+            p.save()
+
+# ---------------------- Real scrapers go here  ---------------------
+def scrape_acidcow(pf, testing = False):
+    if testing:
+        pf.rssfeed_url = "../example_feed_data/acidcow_rss.xml"
+        testing_uri = "../example_feed_data/acidcow_page.html"
+    sets_data = fetch_rss(pf.rssfeed_url)
+    sets = sets_from_rss(sets_data,
+        source_url_field = "guid",
+        )
+    existing_urls = map(lambda s: s.source_url, pf.picset_set.all())
+    sets = filter(lambda s: s.source_url not in existing_urls, sets)
+    sets = filter(lambda s: s.category_name in 
+        ("Pics", "Picdump", "Celebs", "Girls", "Cars"), sets) 
+    good_sets = []
+    for s in sets:
+        if testing:
+            s.source_url = testing_uri
+        if(len(s.description) > 0):
+            s.description = strip_tags(s.description)
+            if(s.description.startswith("Similar posts:")):
+                s.description = None
+        full_title = s.title
+        s.title = strip_parens(s.title)
+        s.category = Category.objects.get_or_create(name=s.category_name)[0]
+        print s
+        pic_data = fetch_html(s.source_url)
+        pics = pics_from_html_simple(pic_data,
+            match_src = "http://acidcow.com/pics/", 
+            source_url = s.source_url,
+            meaningless_titles = [full_title, ],
+            )
+        #filter(pics,)
+        if(len(pics) < 3):
+            continue
+        s.pics = pics
+        good_sets.append(s)
+    if testing:
+        return good_sets
+    else:
+        save_sets(good_sets)
+
+def scrape_butdoesitfloat(pf, testing = False):
+    if testing:
+        pf.rssfeed_url = "../example_feed_data/butdoesitfloat_rss.xml"
+    sets_data = fetch_rss(pf.rssfeed_url)
+    sets = sets_from_rss(sets_data,
+        source_url_field = "comments",
+        category = Category.objects.get_or_create(name="Art")[0]
+        )
+    existing_urls = map(lambda s: s.source_url, pf.picset_set.all())
+    sets = filter(lambda s: s.source_url not in existing_urls, sets)
+    good_sets = []
+    for s in sets:
+        pic_data = fetch_html("", raw=s.description)
+        if(len(s.description) > 0):
+            s.description = s.description.split("<img")[0]
+        pics = pics_from_html_simple(pic_data,)
+        #filter(pics,)
+        if(len(pics) < 3):
+            continue
+        s.pics = pics
+        good_sets.append(s)
+    if testing:
+        return good_sets
+    else:
+        save_sets(good_sets)
+
+def scrape_nzinzi(pf, testing = False):
+    if testing:
+        pf.rssfeed_url = "../example_feed_data/nzinzi_rss.xml"
+    sets_data = fetch_rss(pf.rssfeed_url)
+    sets = sets_from_rss(sets_data,
+            category = Category.objects.get_or_create(name="Art")[0],
+            created_format = ("%Y-%m-%dT%H:%M:%S", -10),
+        )
+    existing_urls = map(lambda s: s.source_url, pf.picset_set.all())
+    sets = filter(lambda s: s.source_url not in existing_urls, sets)
+    good_sets = []
+    for s in sets:
+        pic_data = fetch_html("", raw=s.description)
+        s.description = ""
+        pics = pics_from_html_simple(pic_data,
+            match_src = "http://ntamak.free.fr/", 
+            )
+        #filter(pics,)
+        if(len(pics) < 3):
+            continue
+        s.pics = pics
+        good_sets.append(s)
+    if testing:
+        return good_sets
+    else:
+        save_sets(good_sets)
+
+def scrape_vectortut(pf, testing = False):
+    if testing:
+        pf.rssfeed_url = "../example_feed_data/vectortut_rss.xml"
+    sets_data = fetch_rss(pf.rssfeed_url)
+    sets = sets_from_rss(sets_data,
+        )
+    existing_urls = map(lambda s: s.source_url, pf.picset_set.all())
+    sets = filter(lambda s: s.source_url not in existing_urls, sets)
+    sets = filter(lambda s: s.category_name in 
+        ("Inspirational",), sets) 
+    good_sets = []
+    for s in sets:
+        pic_data = fetch_html("", raw=s.description)
+        s.description = ""
+        s.category = Category.objects.get_or_create(name=s.category_name)[0]
+        pics = pics_from_html_simple(pic_data,
+            match_src = ".cloudfront.net/", 
+            )
+        #filter(pics,)
+        if(len(pics) < 3):
+            continue
+        s.pics = pics
+        good_sets.append(s)
+    if testing:
+        return good_sets
+    else:
+        save_sets(good_sets)
+
+def scrape_chubbychinese(pf, testing = False):
+    if testing:
+        pf.rssfeed_url = "../example_feed_data/chubbychinese_rss.xml"
+    sets_data = fetch_rss(pf.rssfeed_url)
+    sets = sets_from_rss(sets_data,
+            category = Category.objects.get_or_create(name="Food")[0],
+        )
+    existing_urls = map(lambda s: s.source_url, pf.picset_set.all())
+    sets = filter(lambda s: s.source_url not in existing_urls, sets)
+    sets = filter(lambda s: s.category_name in 
+        ("Inspirational",), sets) 
+    good_sets = []
+    for s in sets:
+        pic_data = fetch_html("", raw=s.description)
+        pics = pics_from_html_simple(pic_data,
+            match_src = "static.flickr.com/", 
+            )
+        #filter(pics,)
+        if(len(pics) < 4):
+            continue
+        s.pics = pics
+        good_sets.append(s)
+    if testing:
+        return good_sets
+    else:
+        save_sets(good_sets)
+
+# ---------------------- Testing routines, not required ---------------------
+def test_scrapers(name=None):
+    for pf in PicFeed.objects.filter(is_active=True):
+        if name and pf.shortname != name:
+            continue
+        print "Testing " + pf.shortname + " scrapper ============================="
+        try:
+            scrape = globals()["scrape_" + pf.shortname]
+        except:
+            print "FAILED, no scrape_" + pf.shortname + " found in globals()"
+            continue
+        s = scrape(pf, testing=True)
+        print s[0].source_url
+        print s[0].title
+        print s[0].category
+        print s[0].pics[0].original_url
+        print s[0].pics[0].title
+
-- 
cgit v1.2.3