def loadRawdata(rawfile=None, updbmode=1):
"""
rawfile: rawdata csv file.
updbmode: update db mode: 1-all, 2-incr.
Init *algo* tables with rawdata csv(16 columns) -- SLOW if csv is big,
try offline.doClusterAll(rawdata) -> db.loadClusteredData() instead.
1) db.initTables(): init db tables if update all the db data.
2) db.updateIndexes(): update tables indexes, drop old idxs if only update db incrementally.
3) offline.doClusterIncr(): incremental clustering.
"""
dbips = DB_OFFLINE
doflush = True
for dbip in dbips:
dbsvr = dbsvrs[dbip]
wppdb = WppDB(dsn=dbsvr['dsn'], dbtype=dbsvr['dbtype'])
if updbmode == 1:
# Create WPP tables.
wppdb.initTables(doDrop=True)
doflush = False
# Update indexs.
wppdb.updateIndexes(doflush)
# Load csv clustered data into DB tables.
n_inserts = doClusterIncr(fd_csv=file(rawfile), wppdb=wppdb)
print 'Added: [%s] clusters, [%s] FPs' % (n_inserts['n_newcids'], n_inserts['n_newfps'])
# Init ver_uprecs in |wpp_uprecsver| if it's empty.
if wppdb.getRawdataVersion() is None:
wppdb.setRawdataVersion('0')
wppdb.close()
def loadRawdata(rawfile=None, updbmode=1):
"""
rawfile: rawdata csv file.
updbmode: update db mode: 1-all, 2-incr.
Init *algo* tables with rawdata csv(16 columns) -- SLOW if csv is big,
try offline.doClusterAll(rawdata) -> db.loadClusteredData() instead.
1) db.initTables(): init db tables if update all the db data.
2) db.updateIndexes(): update tables indexes, drop old idxs if only update db incrementally.
3) offline.doClusterIncr(): incremental clustering.
"""
dbips = DB_OFFLINE
doflush = True
for dbip in dbips:
dbsvr = dbsvrs[dbip]
wppdb = WppDB(dsn=dbsvr['dsn'], dbtype=dbsvr['dbtype'])
if updbmode == 1:
# Create WPP tables.
wppdb.initTables(doDrop=True)
doflush = False
# Update indexs.
wppdb.updateIndexes(doflush)
# Load csv clustered data into DB tables.
n_inserts = doClusterIncr(fd_csv=file(rawfile), wppdb=wppdb)
print 'Added: [%s] clusters, [%s] FPs' % (n_inserts['n_newcids'],
n_inserts['n_newfps'])
# Init ver_uprecs in |wpp_uprecsver| if it's empty.
if wppdb.getRawdataVersion() is None:
wppdb.setRawdataVersion('0')
wppdb.close()
def updateAlgoData():
"""
Update from raw data into FPs directly used by location.fixPosWLAN() from WppDB(wpp_clusterid, wpp_cfps).
1) Retrieve latest incremental rawdata(csv) from remote FTP server(hosted by FPP).
2) Decompress bzip2, import CSV into wpp_uprecsinfo with its ver_uprecs, Update ver_uprecs in wpp_uprecsver.
3) Incr clustering inserted rawdata for direct algo use.
"""
dbips = DB_OFFLINE
for dbip in dbips:
dbsvr = dbsvrs[dbip]
wppdb = WppDB(dsn=dbsvr['dsn'], dbtype=dbsvr['dbtype'])
ver_wpp = wppdb.getRawdataVersion()
# Sync rawdata into wpp_uprecsinfo from remote FTP server.
print 'Probing rawdata version > [%s]' % ver_wpp
vers_fpp,localbzs = syncFtpUprecs(FTPCFG, ver_wpp)
if not vers_fpp: print 'Not found!'; continue
else: print 'Found new vers: %s' % vers_fpp
# Handle each bzip2 file.
alerts = {'vers':[], 'details':''}
tab_rd = 'wpp_uprecsinfo'
for bzfile in localbzs:
# Filter out the ver_uprecs info from the name of each bzip file.
ver_bzfile = bzfile.split('_')[-1].split('.')[0]
# Update ver_uprecs in wpp_uprecsver to ver_bzfile.
wppdb.setRawdataVersion(ver_bzfile)
print '%s\nUpdate ver_uprecs -> [%s]' % ('-'*40, ver_bzfile)
# Decompress bzip2.
sys.stdout.write('Decompress & append rawdata ... ')
csvdat = csv.reader( BZ2File(bzfile) )
try:
indat = np_array([ line for line in csvdat ])
except csv.Error, e:
sys.exit('\n\nERROR: %s, line %d: %s!\n' % (bzfile, csvdat.line_num, e))
# Append ver_uprecs(auto-incr),area_ok(0),area_try(0) to raw 16-col fp.
append_info = np_array([ [ver_bzfile,0,0] for i in xrange(len(indat)) ])
indat_withvers = np_append(indat, append_info, axis=1).tolist(); print 'Done'
# Import csv into wpp_uprecsinfo.
try:
sys.stdout.write('Import rawdata: ')
wppdb.insertMany(table_name=tab_rd, indat=indat_withvers, verb=True)
except Exception, e:
_lineno = sys._getframe().f_lineno
_file = sys._getframe().f_code.co_filename
alerts['details'] += '\n[ver:%s][%s:%s]: %s' % \
(ver_bzfile, _file, _lineno, str(e).replace('\n', ' '))
alerts['vers'].append(ver_bzfile)
print 'ERROR: Insert Rawdata Failed!'
continue
def updateAlgoData():
"""
Update from raw data into FPs directly used by location.fixPosWLAN() from WppDB(wpp_clusterid, wpp_cfps).
1) Retrieve latest incremental rawdata(csv) from remote FTP server(hosted by FPP).
2) Decompress bzip2, import CSV into wpp_uprecsinfo with its ver_uprecs, Update ver_uprecs in wpp_uprecsver.
3) Incr clustering inserted rawdata for direct algo use.
"""
dbips = DB_OFFLINE
for dbip in dbips:
dbsvr = dbsvrs[dbip]
wppdb = WppDB(dsn=dbsvr['dsn'], dbtype=dbsvr['dbtype'])
ver_wpp = wppdb.getRawdataVersion()
# Sync rawdata into wpp_uprecsinfo from remote FTP server.
print 'Probing rawdata version > [%s]' % ver_wpp
vers_fpp, localbzs = syncFtpUprecs(FTPCFG, ver_wpp)
if not vers_fpp:
print 'Not found!'
continue
else:
print 'Found new vers: %s' % vers_fpp
# Handle each bzip2 file.
alerts = {'vers': [], 'details': ''}
tab_rd = 'wpp_uprecsinfo'
for bzfile in localbzs:
# Filter out the ver_uprecs info from the name of each bzip file.
ver_bzfile = bzfile.split('_')[-1].split('.')[0]
# Update ver_uprecs in wpp_uprecsver to ver_bzfile.
wppdb.setRawdataVersion(ver_bzfile)
print '%s\nUpdate ver_uprecs -> [%s]' % ('-' * 40, ver_bzfile)
# Decompress bzip2.
sys.stdout.write('Decompress & append rawdata ... ')
csvdat = csv.reader(BZ2File(bzfile))
try:
indat = np_array([line for line in csvdat])
except csv.Error, e:
sys.exit('\n\nERROR: %s, line %d: %s!\n' %
(bzfile, csvdat.line_num, e))
# Append ver_uprecs(auto-incr),area_ok(0),area_try(0) to raw 16-col fp.
append_info = np_array([[ver_bzfile, 0, 0]
for i in xrange(len(indat))])
indat_withvers = np_append(indat, append_info, axis=1).tolist()
print 'Done'
# Import csv into wpp_uprecsinfo.
try:
sys.stdout.write('Import rawdata: ')
wppdb.insertMany(table_name=tab_rd,
indat=indat_withvers,
verb=True)
except Exception, e:
_lineno = sys._getframe().f_lineno
_file = sys._getframe().f_code.co_filename
alerts['details'] += '\n[ver:%s][%s:%s]: %s' % \
(ver_bzfile, _file, _lineno, str(e).replace('\n', ' '))
alerts['vers'].append(ver_bzfile)
print 'ERROR: Insert Rawdata Failed!'
continue
# Incr clustering.
# file described by fd_csv contains all *location enabled* rawdata from wpp_uprecsinfo.
strWhere = 'WHERE lat!=0 and lon!=0 and ver_uprecs=%s' % ver_bzfile
cols_ignored = 3 # 3 status cols to be ignored during clustering: ver_uprecs,area_ok,area_try.
cols_select = ','.join(wppdb.tbl_field[tab_rd][:-cols_ignored])
sql = wppdb.sqls['SQL_SELECT'] % (cols_select, '%s %s' %
(tab_rd, strWhere))
rdata_loc = wppdb.execute(sql=sql, fetch_one=False)
if not rdata_loc: continue # NO FPs has location info.
str_rdata_loc = '\n'.join(
[','.join([str(col) for col in fp]) for fp in rdata_loc])
fd_csv = StringIO(str_rdata_loc)
print 'FPs for Incr clustering selected & ready'
n_inserts = doClusterIncr(fd_csv=fd_csv, wppdb=wppdb, verb=False)
print 'AlgoData added: [%s] clusters, [%s] FPs' % (
n_inserts['n_newcids'], n_inserts['n_newfps'])