def calculate_TF_IDF():
"""Calculates the term frequency and inverse document frequency of
the keywords and store them in the database tables.
"""
conn = util.getDBConnection()
sql = "select word from clean_keywords"
print sql
rows = util.executeSQL(conn, sql)
word_tf = {}
word_df = {}
for row in rows:
word = row[0]
sql1 = "select doc_id from keywords where name='" + word + "'"
print sql1
res = util.executeSQL(conn, sql1)
for row1 in res:
pkg_id = row1[0]
key = word + ':' + str(pkg_id)
if key in word_tf:
tf_count = word_tf[key]
word_tf[key] = tf_count + 1
else:
word_tf[key] = 1
if word in word_df:
df_count = word_df[word]
word_df[word] = df_count + 1
else:
word_df[word] = 1
for word, df in word_df.iteritems():
sql = 'update clean_keywords set df=' + str(
df) + " where word='" + word + "'"
print sql
util.executeSQL(conn, sql)
for word_pkgid, tf in word_tf.iteritems():
word, pkg_id = word_pkgid.split(":")
sql = 'update keywords set tf=' + str(
tf) + " where name='" + word + "' and doc_id=" + str(pkg_id)
print sql
util.executeSQL(conn, sql)
def calculate_TF_IDF():
"""Calculates the term frequency and inverse document frequency of
the keywords and store them in the database tables.
"""
conn = util.getDBConnection()
sql = "select word from clean_keywords"
print sql
rows = util.executeSQL(conn, sql)
word_tf = {}
word_df = {}
for row in rows:
word = row[0]
sql1 = "select doc_id from keywords where name='" + word + "'"
print sql1
res = util.executeSQL(conn, sql1)
for row1 in res:
pkg_id = row1[0]
key = word + ':' + str(pkg_id)
if key in word_tf:
tf_count = word_tf[key]
word_tf[key] = tf_count + 1
else:
word_tf[key] = 1
if word in word_df:
df_count = word_df[word]
word_df[word] = df_count + 1
else:
word_df[word] = 1
for word, df in word_df.iteritems():
sql = 'update clean_keywords set df=' + str(df) + " where word='" + word + "'"
print sql
util.executeSQL(conn, sql)
for word_pkgid, tf in word_tf.iteritems():
word, pkg_id = word_pkgid.split(":")
sql = 'update keywords set tf=' + str(tf) + " where name='" + word + "' and doc_id=" + str(pkg_id)
print sql
util.executeSQL(conn, sql)
print sql
util.executeSQL(conn, sql)
for word_pkgid, tf in word_tf.iteritems():
word, pkg_id = word_pkgid.split(":")
sql = 'update keywords set tf=' + str(
tf) + " where name='" + word + "' and doc_id=" + str(pkg_id)
print sql
util.executeSQL(conn, sql)
if __name__ == '__main__':
try:
kwd_index = 1
pkg_id = 1
conn = util.getDBConnection()
delete_table_data() # delete the existing data
# @todo(Argparse)
for _dir in os.listdir(constants.PATH):
insert_package(_dir, pkg_id)
# @todo(Logging)
print _dir
_files = get_package_files(os.path.join(constants.PATH, _dir))
for root, _file in _files:
process_file(root, _file, pkg_id)
if has_enough_keywords(pkg_id):
pkg_id += 1
populate_clean_keywords()
calculate_TF_IDF()
except Exception as e:
sql = 'update clean_keywords set df=' + str(df) + " where word='" + word + "'"
print sql
util.executeSQL(conn, sql)
for word_pkgid, tf in word_tf.iteritems():
word, pkg_id = word_pkgid.split(":")
sql = 'update keywords set tf=' + str(tf) + " where name='" + word + "' and doc_id=" + str(pkg_id)
print sql
util.executeSQL(conn, sql)
if __name__ == '__main__':
try:
kwd_index = 1
pkg_id = 1
conn = util.getDBConnection()
delete_table_data() # delete the existing data
# @todo(Argparse)
for _dir in os.listdir(constants.PATH):
insert_package(_dir, pkg_id)
# @todo(Logging)
print _dir
_files = get_package_files(os.path.join(constants.PATH, _dir))
for root, _file in _files:
process_file(root, _file, pkg_id)
if has_enough_keywords(pkg_id):
pkg_id += 1
populate_clean_keywords()
calculate_TF_IDF()
except Exception as e:
