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In [2]:

    
import cPickle
import os.path

api_key = cPickle.load( file( os.path.expanduser( '~/mediacloud_api_key.pickle' ), 'r' ) )



In [3]:

    
import cPickle
import os.path

cPickle.dump( api_key, file( os.path.expanduser( '~/mediacloud_api_key.pickle' ), 'wb' ) )



In [4]:

    
import sys
#print (sys.path)
sys.path.append('../')
sys.path
import mc_database



In [1]:

    
import psycopg2
import psycopg2.extras



In [7]:

    
import mediacloud, json



In [5]:

    
def cast_fields_to_bool( dict_obj, fields ):
    for field in fields:
        if dict_obj[ field ] is not None:
            dict_obj[ field ] = bool( dict_obj[field])



In [6]:

    
def non_list_pairs( item ):
    item = { k: item[k]  for k in  item.keys() if type(item[k]) != list  }
    return item

def insert_into_table( cursor, table_name, item ):
    item = { k: item[k]  for k in  item.keys() if type(item[k]) != list  }
    columns = ', '.join(item.keys())
    
    placeholders = ', '.join([ '%('+ c + ')s'  for c in item.keys() ])
    
    query = "insert into " + table_name + " (%s) Values (%s)" %( columns, placeholders)
    #print query
    cursor.execute( query , item )



In [39]:

    
def update_db_sequences( conn ):
    cursor = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
    cursor.execute( "select setval(pg_get_serial_sequence('tag_sets', 'tag_sets_id'), (select max(tag_sets_id)+1 from tag_sets))" )
    
    cursor.execute( "select setval(pg_get_serial_sequence('tags', 'tags_id'), (select max(tags_id)+1 from tags))" )
    cursor.execute( "select setval(pg_get_serial_sequence('media', 'media_id'), (select max(media_id)+1 from media))" )
    cursor.execute( "select setval(pg_get_serial_sequence('media_sets', 'media_id'), (select max(media_id)+1 from media))" )
    cursor.execute( "select setval(pg_get_serial_sequence('media_sets_media_map', 'media_id'), (select max(media_id)+1 from media))" )
    cursor.execute( "select setval(pg_get_serial_sequence('media_tags_map', 'media_tags_map_id'), (select max(media_tags_map_id)+1 from media_tags_map))" )
    cursor.execute( "select setval(pg_get_serial_sequence('feeds', 'feeds_id'), (select max(feeds_id)+1 from feeds))" )
    
    cursor.execute( "select setval(pg_get_serial_sequence('feeds_tags_map', 'feeds_tags_map_id'), (select max(feeds_tags_map_id)+1 from feeds_tags_map))" )
    
    cursor.close()
    conn.commit()



In [9]:

    
def truncate_tables( conn ):
    cursor = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
    cursor.execute( "SELECT count(*)  > 10000 as has_many_downloads from downloads")
    rec = cursor.fetchone()
    assert ( not rec['has_many_downloads'])
    
    cursor.execute( "TRUNCATE tag_sets CASCADE " )
    cursor.execute( "TRUNCATE media CASCADE" )
    cursor.execute( "TRUNCATE feeds CASCADE" )
    conn.commit()



In [11]:

    
def get_tag_sets( mc ):
    all_tag_sets = []

    last_tag_sets_id = 0
    
    while True:
        tag_sets = mc.tagSetList( last_tag_sets_id=last_tag_sets_id, rows=20)
        if len(tag_sets) == 0:
            break
        
        #print tag_sets
        last_tag_sets_id = tag_sets[-1]['tag_sets_id']
        #print last_tag_sets_id
    
         
        all_tag_sets.extend(tag_sets)
        
    return all_tag_sets



In [13]:

    
def add_tag_sets_to_database( conn, all_tag_sets ):
    cursor = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
    for tag_set in all_tag_sets:
        cast_fields_to_bool( tag_set, [ 'show_on_media', 'show_on_stories' ] )
        insert_into_table( cursor, 'tag_sets', tag_set )
        print 'inserted ' + tag_set['name']
    conn.commit()



In [29]:

    
def add_media_to_database( conn, all_media ):
    
    cursor = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
    cursor.execute( "SET CONSTRAINTS media_dup_media_id_fkey DEFERRED ") 
    
    num_media_inserted = 0
    
    for medium in all_media:
        medium = non_list_pairs( medium)
        #del medium['dup_media_id']
        cast_fields_to_bool( medium, [ 'extract_author', 'annotate_with_corenlp', "full_text_rss",
                                  "foreign_rss_links",  "feeds_added", "moderated", "use_pager", "is_not_dup"])
        insert_into_table( cursor, 'media', medium )
        
        num_media_inserted += 1
        
        if num_media_inserted % 500 == 0:
            print "Inserted " + str( num_media_inserted ) + " out of " + str(len(all_media) )
            
        #print 'inserted '
        
    conn.commit()
    cursor.close()
    conn.commit()



In [17]:

    
def get_media( mc ):
    all_media = []

    last_media_id = 0
    
    while True:
        media = mc.mediaList( last_media_id=last_media_id, rows=1000)
        print last_media_id, len( media ), len( all_media )
    
        if len(media) == 0:
            break
            
        last_media_id = media[-1]['media_id']
        last_media_id
        
        all_media.extend(media)
        
        #if len( all_media ) > 10000:
        #    break
    
    return all_media



In [28]:

    
def add_feeds_from_media_to_database( conn, media ):
    cursor = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
    
    num_media_processed = 0
    
    for medium in media:
        feeds_for_media = mc.feedList( media_id=medium['media_id'], rows=1000)
        assert len( feeds_for_media ) < 1000
        
        for feed in feeds_for_media:
            insert_into_table( cursor, 'feeds', feed )
            
        num_media_processed += 1
        
        if num_media_processed % 1000 == 0:
            print "inserted feeds for " + str( num_media_processed ) + " out of " + str ( len( all_media ) )
    
    conn.commit()
    cursor.close()
    conn.commit()



In [16]:

    
mc = mediacloud.api.MediaCloud(api_key, all_fields=True)



In [43]:

    
conn = mc_database.connect_to_database()
truncate_tables( conn )
update_db_sequences(conn)
all_tag_sets = get_tag_sets( mc )

add_tag_sets_to_database( conn, all_tag_sets )
all_media = get_media( mc )
add_media_to_database( conn, all_media )
add_feeds_from_media_to_database( conn, all_media[:100])
update_db_sequences(conn)









    



inserted content_type
inserted usnewspapercirculation
inserted workflow
inserted collection
inserted manual_term
inserted term_study
inserted Calais (term_study)
inserted Yahoo (term_study)
inserted NYTTopics (term_study)
inserted NYTTopics
inserted tagged
inserted Calais
inserted source
inserted pklocation
inserted pkgeog-type
inserted word_cloud
inserted morning_analytics_russia_20100915_cluster
inserted morning_analytics_russia_full_20100911_cluster
inserted topic
inserted spidered
inserted sopa
inserted controversy_trayvon
inserted collection:_newyork_jessie_spidering_10242012
inserted date_guess_method
inserted controversy_prop 40
inserted controversy_prop 32
inserted controversy_prop 34
inserted controversy_prop 31
inserted controversy_prop 33
inserted controversy_prop 35
inserted controversy_prop 36
inserted controversy_prop 37
inserted controversy_prop 39
inserted controversy_prop 30 + 38
inserted controversy_sopa
inserted emm_type
inserted emm_subject
inserted emm_country
inserted emm_region
inserted emm_category
inserted emm_lang
inserted controversy_russia protests
inserted gv_country
inserted ca_ra_media_types
inserted date_invalid
inserted controversy_nsa / snowden
inserted portuguese_media_type
inserted portuguese_topic
inserted portuguese_state
inserted controversy_obama 2012-11
inserted controversy_obama-romney 2012-10
inserted controversy_tamarod
inserted partisan_coding_20140218
inserted dlarochelle@cyber.law.harvard.edu
inserted controversy_rolezinhos
inserted egypt_media_type
inserted egypt_valence
inserted controversy_tamarod - new
inserted foo
inserted hroberts@cyber.law.harvard.edu
inserted rahulb@media.mit.edu
inserted controversy_network neutrality
inserted controversy_isla vista
inserted kenya_media_source
inserted controversy_gaza 2014-07
inserted media_type
inserted controversy_Chinese Bitcoin 2
inserted controversy_isla vista - simple
inserted controversy_Chinese Bitcoin 3
inserted controversy_Chinese Bitcoin
inserted controversy_sopa 20130507
inserted controversy_hobby lobby
inserted controversy_720_media_types
inserted controversy_gaza
inserted controversy_teen pregnancy - broken
inserted controversy_teen pregnancy
inserted controversy_ebola
inserted controversy_ferguson
inserted controversy_ferguson / mike brown
inserted controversy_791_media_types
inserted controversy_gamergate
inserted controversy_tobacco
inserted controversy_abortion
inserted controversy_contraception
inserted controversy_contraception / bc
inserted controversy_sex education
inserted controversy_reproductive rights
inserted controversy_mlk
inserted controversy_ferguson / garner
inserted fake_sources
inserted controversy_mlk simple
inserted extractor_version
inserted controversy_mtv the talk
inserted controversy_ap sentences
inserted controversy_867_media_types
inserted controversy_common core
inserted controversy_egypt spider 2015-03-01 - 2015-03-03
inserted controversy_climate change
inserted controversy_egypt spider
inserted controversy_vaccines
inserted mexico_state
inserted controversy_garissa
inserted controversy_charlie hebdo
inserted controversy_walter scott
inserted scraped
inserted controversy_climate change,  Q3 2014
inserted controversy_gamergate2
inserted controversy_freddie gray
inserted controversy_nsa 2015-02-01 - 2015-04-28
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Inserted 129500 out of 259669
Inserted 130000 out of 259669
Inserted 130500 out of 259669
Inserted 131000 out of 259669
Inserted 131500 out of 259669
Inserted 132000 out of 259669
Inserted 132500 out of 259669
Inserted 133000 out of 259669
Inserted 133500 out of 259669
Inserted 134000 out of 259669
Inserted 134500 out of 259669
Inserted 135000 out of 259669
Inserted 135500 out of 259669
Inserted 136000 out of 259669
Inserted 136500 out of 259669
Inserted 137000 out of 259669
Inserted 137500 out of 259669
Inserted 138000 out of 259669
Inserted 138500 out of 259669
Inserted 139000 out of 259669
Inserted 139500 out of 259669
Inserted 140000 out of 259669
Inserted 140500 out of 259669
Inserted 141000 out of 259669
Inserted 141500 out of 259669
Inserted 142000 out of 259669
Inserted 142500 out of 259669
Inserted 143000 out of 259669
Inserted 143500 out of 259669
Inserted 144000 out of 259669
Inserted 144500 out of 259669
Inserted 145000 out of 259669
Inserted 145500 out of 259669
Inserted 146000 out of 259669
Inserted 146500 out of 259669
Inserted 147000 out of 259669
Inserted 147500 out of 259669
Inserted 148000 out of 259669
Inserted 148500 out of 259669
Inserted 149000 out of 259669
Inserted 149500 out of 259669
Inserted 150000 out of 259669
Inserted 150500 out of 259669
Inserted 151000 out of 259669
Inserted 151500 out of 259669
Inserted 152000 out of 259669
Inserted 152500 out of 259669
Inserted 153000 out of 259669
Inserted 153500 out of 259669
Inserted 154000 out of 259669
Inserted 154500 out of 259669
Inserted 155000 out of 259669
Inserted 155500 out of 259669
Inserted 156000 out of 259669
Inserted 156500 out of 259669
Inserted 157000 out of 259669
Inserted 157500 out of 259669
Inserted 158000 out of 259669
Inserted 158500 out of 259669
Inserted 159000 out of 259669
Inserted 159500 out of 259669
Inserted 160000 out of 259669
Inserted 160500 out of 259669
Inserted 161000 out of 259669
Inserted 161500 out of 259669
Inserted 162000 out of 259669
Inserted 162500 out of 259669
Inserted 163000 out of 259669
Inserted 163500 out of 259669
Inserted 164000 out of 259669
Inserted 164500 out of 259669
Inserted 165000 out of 259669
Inserted 165500 out of 259669
Inserted 166000 out of 259669
Inserted 166500 out of 259669
Inserted 167000 out of 259669
Inserted 167500 out of 259669
Inserted 168000 out of 259669
Inserted 168500 out of 259669
Inserted 169000 out of 259669
Inserted 169500 out of 259669
Inserted 170000 out of 259669
Inserted 170500 out of 259669
Inserted 171000 out of 259669
Inserted 171500 out of 259669
Inserted 172000 out of 259669
Inserted 172500 out of 259669
Inserted 173000 out of 259669
Inserted 173500 out of 259669
Inserted 174000 out of 259669
Inserted 174500 out of 259669
Inserted 175000 out of 259669
Inserted 175500 out of 259669
Inserted 176000 out of 259669
Inserted 176500 out of 259669
Inserted 177000 out of 259669
Inserted 177500 out of 259669
Inserted 178000 out of 259669
Inserted 178500 out of 259669
Inserted 179000 out of 259669
Inserted 179500 out of 259669
Inserted 180000 out of 259669
Inserted 180500 out of 259669
Inserted 181000 out of 259669
Inserted 181500 out of 259669
Inserted 182000 out of 259669
Inserted 182500 out of 259669
Inserted 183000 out of 259669
Inserted 183500 out of 259669
Inserted 184000 out of 259669
Inserted 184500 out of 259669
Inserted 185000 out of 259669
Inserted 185500 out of 259669
Inserted 186000 out of 259669
Inserted 186500 out of 259669
Inserted 187000 out of 259669
Inserted 187500 out of 259669
Inserted 188000 out of 259669
Inserted 188500 out of 259669
Inserted 189000 out of 259669
Inserted 189500 out of 259669
Inserted 190000 out of 259669
Inserted 190500 out of 259669
Inserted 191000 out of 259669
Inserted 191500 out of 259669
Inserted 192000 out of 259669
Inserted 192500 out of 259669
Inserted 193000 out of 259669
Inserted 193500 out of 259669
Inserted 194000 out of 259669
Inserted 194500 out of 259669
Inserted 195000 out of 259669
Inserted 195500 out of 259669
Inserted 196000 out of 259669
Inserted 196500 out of 259669
Inserted 197000 out of 259669
Inserted 197500 out of 259669
Inserted 198000 out of 259669
Inserted 198500 out of 259669
Inserted 199000 out of 259669
Inserted 199500 out of 259669
Inserted 200000 out of 259669
Inserted 200500 out of 259669
Inserted 201000 out of 259669
Inserted 201500 out of 259669
Inserted 202000 out of 259669
Inserted 202500 out of 259669
Inserted 203000 out of 259669
Inserted 203500 out of 259669
Inserted 204000 out of 259669
Inserted 204500 out of 259669
Inserted 205000 out of 259669
Inserted 205500 out of 259669
Inserted 206000 out of 259669
Inserted 206500 out of 259669
Inserted 207000 out of 259669
Inserted 207500 out of 259669
Inserted 208000 out of 259669
Inserted 208500 out of 259669
Inserted 209000 out of 259669
Inserted 209500 out of 259669
Inserted 210000 out of 259669
Inserted 210500 out of 259669
Inserted 211000 out of 259669
Inserted 211500 out of 259669
Inserted 212000 out of 259669
Inserted 212500 out of 259669
Inserted 213000 out of 259669
Inserted 213500 out of 259669
Inserted 214000 out of 259669
Inserted 214500 out of 259669
Inserted 215000 out of 259669
Inserted 215500 out of 259669
Inserted 216000 out of 259669
Inserted 216500 out of 259669
Inserted 217000 out of 259669
Inserted 217500 out of 259669
Inserted 218000 out of 259669
Inserted 218500 out of 259669
Inserted 219000 out of 259669
Inserted 219500 out of 259669
Inserted 220000 out of 259669
Inserted 220500 out of 259669
Inserted 221000 out of 259669
Inserted 221500 out of 259669
Inserted 222000 out of 259669
Inserted 222500 out of 259669
Inserted 223000 out of 259669
Inserted 223500 out of 259669
Inserted 224000 out of 259669
Inserted 224500 out of 259669
Inserted 225000 out of 259669
Inserted 225500 out of 259669
Inserted 226000 out of 259669
Inserted 226500 out of 259669
Inserted 227000 out of 259669
Inserted 227500 out of 259669
Inserted 228000 out of 259669
Inserted 228500 out of 259669
Inserted 229000 out of 259669
Inserted 229500 out of 259669
Inserted 230000 out of 259669
Inserted 230500 out of 259669
Inserted 231000 out of 259669
Inserted 231500 out of 259669
Inserted 232000 out of 259669
Inserted 232500 out of 259669
Inserted 233000 out of 259669
Inserted 233500 out of 259669
Inserted 234000 out of 259669
Inserted 234500 out of 259669
Inserted 235000 out of 259669
Inserted 235500 out of 259669
Inserted 236000 out of 259669
Inserted 236500 out of 259669
Inserted 237000 out of 259669
Inserted 237500 out of 259669
Inserted 238000 out of 259669
Inserted 238500 out of 259669
Inserted 239000 out of 259669
Inserted 239500 out of 259669
Inserted 240000 out of 259669
Inserted 240500 out of 259669
Inserted 241000 out of 259669
Inserted 241500 out of 259669
Inserted 242000 out of 259669
Inserted 242500 out of 259669
Inserted 243000 out of 259669
Inserted 243500 out of 259669
Inserted 244000 out of 259669
Inserted 244500 out of 259669
Inserted 245000 out of 259669
Inserted 245500 out of 259669
Inserted 246000 out of 259669
Inserted 246500 out of 259669
Inserted 247000 out of 259669
Inserted 247500 out of 259669
Inserted 248000 out of 259669
Inserted 248500 out of 259669
Inserted 249000 out of 259669
Inserted 249500 out of 259669
Inserted 250000 out of 259669
Inserted 250500 out of 259669
Inserted 251000 out of 259669
Inserted 251500 out of 259669
Inserted 252000 out of 259669
Inserted 252500 out of 259669
Inserted 253000 out of 259669
Inserted 253500 out of 259669
Inserted 254000 out of 259669
Inserted 254500 out of 259669
Inserted 255000 out of 259669
Inserted 255500 out of 259669
Inserted 256000 out of 259669
Inserted 256500 out of 259669
Inserted 257000 out of 259669
Inserted 257500 out of 259669
Inserted 258000 out of 259669
Inserted 258500 out of 259669
Inserted 259000 out of 259669
Inserted 259500 out of 259669