class DbManager():
def __init__(self):
self._perf_manager = PerfManager()
self._info_manager = InfoManager()
self._db_home = os.path.split(sys.executable)[0] + os.sep + "share" + os.sep + "alyvix"
self._db_name = "alyvix_data"
if self._info_manager.get_info("ROBOT CONTEXT") is True:
self._db_home = os.path.dirname(os.path.abspath(self._info_manager.get_info("SUITE SOURCE")))
self._db_name = self._info_manager.get_info("SUITE NAME")
"""
if self._info_manager.get_info("TEST CASE NAME") is not None:
self._db_name = self._db_name + "_" + self._info_manager.get_info("TEST CASE NAME").replace(" ", "_")
"""
self._db_name = self._db_name + ".db"
self._connection = None
self._cursor = None
self._db_is_new = False
def connect(self):
self._connection = sqlite3.connect(self._db_home + os.sep + self._db_name)
self._connection.row_factory = sqlite3.Row
self._cursor = self._connection.cursor()
def close(self):
self._connection.commit()
self._connection.close()
def _create_tables(self):
self._create_runs_table()
self._create_thresholds_table()
self._create_sorting_table()
def _create_runs_table(self):
query = "CREATE TABLE runs (start_time integer primary key"
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + perf.name + " integer"
query += ")"
self._cursor.execute(query)
def _create_thresholds_table(self):
query = "CREATE TABLE thresholds (start_time integer primary key"
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + perf.name + "_warn integer, " + perf.name + "_crit integer"
query += ")"
self._cursor.execute(query)
def _create_sorting_table(self):
query = "CREATE TABLE sorting (start_time integer primary key"
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + perf.name + "_index integer"
query += ")"
self._cursor.execute(query)
def _check_runs_columns(self):
query = "PRAGMA table_info(runs);"
rows = self._cursor.execute(query).fetchall()
for perf in self._perf_manager.get_all_perfdata():
perf_name_present = False
for row in rows:
if row[1] == perf.name:
perf_name_present = True
break
#check and add new columns
if perf_name_present is False:
query = "ALTER TABLE runs ADD COLUMN " + perf.name + " integer;"
self._cursor.execute(query)
def _check_thresholds_columns(self):
query = "PRAGMA table_info(thresholds);"
rows = self._cursor.execute(query).fetchall()
for perf in self._perf_manager.get_all_perfdata():
perf_warn_present = False
perf_crit_present = False
for row in rows:
if row[1] == perf.name + "_warn":
perf_warn_present = True
if row[1] == perf.name + "_crit":
perf_crit_present = True
#check and add new columns
if perf_warn_present is False:
query = "ALTER TABLE thresholds ADD COLUMN " + perf.name + "_warn integer;"
self._cursor.execute(query)
#check and add new columns
if perf_crit_present is False:
query = "ALTER TABLE thresholds ADD COLUMN " + perf.name + "_crit integer;"
self._cursor.execute(query)
def _check_sorting_columns(self):
query = "PRAGMA table_info(sorting);"
rows = self._cursor.execute(query).fetchall()
for perf in self._perf_manager.get_all_perfdata():
perf_name_present = False
for row in rows:
if row[1] == perf.name + "_index":
perf_name_present = True
break
#check and add new columns
if perf_name_present is False:
query = "ALTER TABLE sorting ADD COLUMN " + perf.name + "_index integer;"
self._cursor.execute(query)
def _insert_runs(self):
#check and add new columns
self._check_runs_columns()
start_time = self._info_manager.get_info("START TIME")
query = "INSERT INTO runs (start_time"
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + perf.name
query = query + ") VALUES (" + str(start_time)
for perf in self._perf_manager.get_all_perfdata():
if perf.value is not None and perf.value != "":
query = query + ", " + str(int(perf.value * 1000))
else:
query = query + ", null"
query += ")"
self._cursor.execute(query)
def _insert_thresholds(self):
#check and add new columns
self._check_thresholds_columns()
#get last row of thresholds table
query = "select * from thresholds where start_time ORDER BY start_time DESC LIMIT 1"
last_rows = self._cursor.execute(query).fetchone()
total_null = 0
#count null values
if last_rows is not None:
for row in last_rows:
if row is None:
total_null += 1
#get perfdata of current run
current_perfdata = self._perf_manager.get_all_perfdata()
for perf in current_perfdata:
#if warning or critical are empty, then we dont have to compare warning or critical column
if perf.warning_threshold == "" or perf.warning_threshold is None and total_null > 0:
total_null -= 1
if perf.critical_threshold == "" or perf.critical_threshold is None and total_null > 0:
total_null -= 1
if last_rows is not None:
total_columns = len(last_rows) - 1
else:
total_columns = 0
start_time = self._info_manager.get_info("START TIME")
query = "INSERT INTO thresholds (start_time"
for perf in current_perfdata:
query = query + ", " + perf.name + "_warn, " + perf.name + "_crit"
query = query + ") VALUES (" + str(start_time)
different_from_last = self._db_is_new
#check if perfdata items of current run are > (or <) than last row columns
if len(current_perfdata) * 2 != (total_columns - total_null):
different_from_last = True
for perf in self._perf_manager.get_all_perfdata():
if perf.warning_threshold is not None and perf.warning_threshold != "":
query = query + ", " + str(int(perf.warning_threshold * 1000))
if last_rows is not None and last_rows[perf.name + "_warn"] != int(perf.warning_threshold * 1000):
different_from_last = True
else:
query = query + ", null"
if last_rows is not None and last_rows[perf.name + "_warn"] is not None:
different_from_last = True
if perf.critical_threshold is not None and perf.critical_threshold != "":
query = query + ", " + str(int(perf.critical_threshold * 1000))
if last_rows is not None and last_rows[perf.name + "_crit"] != int(perf.critical_threshold * 1000):
different_from_last = True
else:
query = query + ", null"
if last_rows is not None and last_rows[perf.name + "_crit"] is not None:
different_from_last = True
if different_from_last is True:
query = query + ")"
self._cursor.execute(query)
def _insert_sorting(self):
#check and add new columns
self._check_sorting_columns()
#get last row of sorting table
query = "select * from sorting where start_time ORDER BY start_time DESC LIMIT 1"
last_rows = self._cursor.execute(query).fetchone()
total_null = 0
#count null values
if last_rows is not None:
for row in last_rows:
if row is None:
total_null += 1
if last_rows is not None:
total_columns = len(last_rows) - 1
else:
total_columns = 0
start_time = self._info_manager.get_info("START TIME")
query = "INSERT INTO sorting (start_time"
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + perf.name + "_index"
query = query + ") VALUES (" + str(start_time)
different_from_last = self._db_is_new
#check if perfdata items of current run are > (or <) than last row columns
if len(self._perf_manager.get_all_perfdata()) != (total_columns - total_null):
different_from_last = True
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + str(perf.counter)
if last_rows is not None and last_rows[perf.name + "_index"] != perf.counter:
different_from_last = True
if different_from_last is True:
query = query + ")"
self._cursor.execute(query)
def store_perfdata(self, dbname=None):
if dbname != None and dbname != "":
self._db_home = os.path.split(dbname)[0]
self._db_name = os.path.split(dbname)[1]
self._info_manager.set_info("DB FILE", self._db_home + os.sep + self._db_name)
#if not os.path.isfile(self._db_home + os.sep + self._db_name):
if not os.path.isdir(self._db_home):
os.makedirs(self._db_home)
self.connect()
self._create_tables()
self._db_is_new = True
elif not os.path.isfile(self._db_home + os.sep + self._db_name):
self.connect()
self._create_tables()
self._db_is_new = True
else:
self.connect()
self._insert_runs()
self._insert_thresholds()
self._insert_sorting()
self.close()
def publish_perfdata(self, type="csv", start_date=None, end_date=None, filename=None,
testcase_name=None, max_age=24):
if type == "perfmon":
try:
full_file_name = get_python_lib() + os.sep + "alyvix" + os.sep + "extra" + os.sep + "alyvixservice.ini"
config = ConfigParser.ConfigParser()
config.read(full_file_name)
db_file = self._info_manager.get_info("DB FILE")
if db_file is not None:
self._db_home = os.path.split( self._info_manager.get_info("DB FILE"))[0]
self._db_name = os.path.split( self._info_manager.get_info("DB FILE"))[1]
if testcase_name is None or testcase_name == "":
testcase_name = self._info_manager.get_info('TEST CASE NAME')
if testcase_name is None or testcase_name == "":
testcase_name = self._info_manager.get_info('SUITE NAME')
try:
if not config.has_section('db_path'):
config.add_section('db_path')
except:
pass
try:
if not config.has_section('db_max_age'):
config.add_section('db_max_age')
except:
pass
try:
config.get('general', "polling_frequency")
except:
try:
config.add_section('general')
except:
config.set('general', 'polling_frequency', '500')
try:
config.get('general', "push_frequency")
except:
try:
config.add_section('general')
except:
config.set('general', 'push_frequency', '2')
config.set('db_path', testcase_name, self._db_home + os.sep + self._db_name)
config.set('db_max_age', testcase_name, str(max_age))
with open(full_file_name, 'w') as configfile:
config.write(configfile)
except:
pass
if type == "csv":
start_date_dt = None
end_date_dt = None
for fmt in ('%Y-%m-%d', '%Y-%m-%d %H:%M' , '%Y-%m-%d %H:%M:%S'):
try:
start_date_dt = datetime.datetime.strptime(start_date, fmt)
except ValueError:
pass
for fmt in ('%Y-%m-%d', '%Y-%m-%d %H:%M' , '%Y-%m-%d %H:%M:%S'):
try:
end_date_dt = datetime.datetime.strptime(end_date, fmt)
except ValueError:
pass
if start_date_dt is None:
raise Exception('invalid start date!')
if end_date_dt is None:
raise Exception('invalid end date!')
if start_date_dt >= end_date_dt:
raise Exception('end date must be greate than start date!')
db_file = self._info_manager.get_info("DB FILE")
if db_file is not None:
self._db_home = os.path.split( self._info_manager.get_info("DB FILE"))[0]
self._db_name = os.path.split( self._info_manager.get_info("DB FILE"))[1]
csv_name = filename
if csv_name is None or filename == "":
csv_home = os.path.split(sys.executable)[0] + os.sep + "share" + os.sep + "alyvix"
csv_name = "alyvix_data"
if self._info_manager.get_info("ROBOT CONTEXT") is True:
csv_home = os.path.dirname(os.path.abspath(self._info_manager.get_info("SUITE SOURCE")))
csv_name = self._info_manager.get_info("SUITE NAME")
csv_name = csv_home + os.sep + csv_name + ".csv"
csv_file = open(csv_name, 'w')
csv_writer = csv.writer(csv_file)
self.connect()
#get last row of sorting table
query = "select * from sorting ORDER BY start_time DESC LIMIT 1"
last_sorting_rows = self._cursor.execute(query).fetchone()
#print self._cursor.description
perf_to_query = []
for key in last_sorting_rows.keys():
if key == "start_time":
continue
value = last_sorting_rows[key]
if value is not None:
perf_to_query.append(key.replace("_index", ""))
query = "select datetime(start_time, 'unixepoch','localtime') as start_time"
for column in perf_to_query:
query = query + ", " + column
query = query + " from runs where CAST(strftime('%s', datetime(start_time, 'unixepoch', 'localtime')) AS INT) between CAST(strftime('%s', '" + start_date + "') AS INT) and CAST(strftime('%s', '" + end_date + "') AS INT)"
rows = self._cursor.execute(query).fetchall()
csv_header = []
csv_header.append("start_time")
for perf_column in perf_to_query:
csv_header.append(perf_column)
csv_writer.writerow(csv_header)
for row in rows:
csv_row = []
#start_date_dt = datetime.datetime.utcfromtimestamp(row["start_time"])
#start_date_str = start_date_dt.strftime("%Y-%m-%d %H:%M:%S")
csv_row.append(row["start_time"])
for perf_column in perf_to_query:
csv_row.append(row[perf_column])
csv_writer.writerow(csv_row)
self.close()
csv_file.close()
class DbManager():
def __init__(self):
self._perf_manager = PerfManager()
self._info_manager = InfoManager()
self._db_home = os.path.split(
sys.executable)[0] + os.sep + "share" + os.sep + "alyvix"
self._db_name = "alyvix_data"
if self._info_manager.get_info("ROBOT CONTEXT") is True:
self._db_home = os.path.dirname(
os.path.abspath(self._info_manager.get_info("SUITE SOURCE")))
self._db_name = self._info_manager.get_info("SUITE NAME")
"""
if self._info_manager.get_info("TEST CASE NAME") is not None:
self._db_name = self._db_name + "_" + self._info_manager.get_info("TEST CASE NAME").replace(" ", "_")
"""
self._db_name = self._db_name + ".db"
self._connection = None
self._cursor = None
self._db_is_new = False
def connect(self):
self._connection = sqlite3.connect(self._db_home + os.sep +
self._db_name)
self._connection.row_factory = sqlite3.Row
self._cursor = self._connection.cursor()
def close(self):
self._connection.commit()
self._connection.close()
def _create_tables(self):
self._create_runs_table()
self._create_thresholds_table()
self._create_sorting_table()
def _create_runs_table(self):
query = "CREATE TABLE runs (start_time integer primary key"
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + perf.name + " integer"
query += ")"
self._cursor.execute(query)
def _create_thresholds_table(self):
query = "CREATE TABLE thresholds (start_time integer primary key"
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + perf.name + "_warn integer, " + perf.name + "_crit integer"
query += ")"
self._cursor.execute(query)
def _create_sorting_table(self):
query = "CREATE TABLE sorting (start_time integer primary key"
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + perf.name + "_index integer"
query += ")"
self._cursor.execute(query)
def _check_runs_columns(self):
query = "PRAGMA table_info(runs);"
rows = self._cursor.execute(query).fetchall()
for perf in self._perf_manager.get_all_perfdata():
perf_name_present = False
for row in rows:
if row[1] == perf.name:
perf_name_present = True
break
#check and add new columns
if perf_name_present is False:
query = "ALTER TABLE runs ADD COLUMN " + perf.name + " integer;"
self._cursor.execute(query)
def _check_thresholds_columns(self):
query = "PRAGMA table_info(thresholds);"
rows = self._cursor.execute(query).fetchall()
for perf in self._perf_manager.get_all_perfdata():
perf_warn_present = False
perf_crit_present = False
for row in rows:
if row[1] == perf.name + "_warn":
perf_warn_present = True
if row[1] == perf.name + "_crit":
perf_crit_present = True
#check and add new columns
if perf_warn_present is False:
query = "ALTER TABLE thresholds ADD COLUMN " + perf.name + "_warn integer;"
self._cursor.execute(query)
#check and add new columns
if perf_crit_present is False:
query = "ALTER TABLE thresholds ADD COLUMN " + perf.name + "_crit integer;"
self._cursor.execute(query)
def _check_sorting_columns(self):
query = "PRAGMA table_info(sorting);"
rows = self._cursor.execute(query).fetchall()
for perf in self._perf_manager.get_all_perfdata():
perf_name_present = False
for row in rows:
if row[1] == perf.name + "_index":
perf_name_present = True
break
#check and add new columns
if perf_name_present is False:
query = "ALTER TABLE sorting ADD COLUMN " + perf.name + "_index integer;"
self._cursor.execute(query)
def _insert_runs(self):
#check and add new columns
self._check_runs_columns()
start_time = self._info_manager.get_info("START TIME")
query = "INSERT INTO runs (start_time"
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + perf.name
query = query + ") VALUES (" + str(start_time)
for perf in self._perf_manager.get_all_perfdata():
if perf.value is not None and perf.value != "":
query = query + ", " + str(int(perf.value * 1000))
else:
query = query + ", null"
query += ")"
self._cursor.execute(query)
def _insert_thresholds(self):
#check and add new columns
self._check_thresholds_columns()
#get last row of thresholds table
query = "select * from thresholds where start_time ORDER BY start_time DESC LIMIT 1"
last_rows = self._cursor.execute(query).fetchone()
total_null = 0
#count null values
if last_rows is not None:
for row in last_rows:
if row is None:
total_null += 1
#get perfdata of current run
current_perfdata = self._perf_manager.get_all_perfdata()
for perf in current_perfdata:
#if warning or critical are empty, then we dont have to compare warning or critical column
if perf.warning_threshold == "" or perf.warning_threshold is None and total_null > 0:
total_null -= 1
if perf.critical_threshold == "" or perf.critical_threshold is None and total_null > 0:
total_null -= 1
if last_rows is not None:
total_columns = len(last_rows) - 1
else:
total_columns = 0
start_time = self._info_manager.get_info("START TIME")
query = "INSERT INTO thresholds (start_time"
for perf in current_perfdata:
query = query + ", " + perf.name + "_warn, " + perf.name + "_crit"
query = query + ") VALUES (" + str(start_time)
different_from_last = self._db_is_new
#check if perfdata items of current run are > (or <) than last row columns
if len(current_perfdata) * 2 != (total_columns - total_null):
different_from_last = True
for perf in self._perf_manager.get_all_perfdata():
if perf.warning_threshold is not None and perf.warning_threshold != "":
query = query + ", " + str(int(perf.warning_threshold * 1000))
if last_rows is not None and last_rows[
perf.name + "_warn"] != int(
perf.warning_threshold * 1000):
different_from_last = True
else:
query = query + ", null"
if last_rows is not None and last_rows[perf.name +
"_warn"] is not None:
different_from_last = True
if perf.critical_threshold is not None and perf.critical_threshold != "":
query = query + ", " + str(int(perf.critical_threshold * 1000))
if last_rows is not None and last_rows[
perf.name + "_crit"] != int(
perf.critical_threshold * 1000):
different_from_last = True
else:
query = query + ", null"
if last_rows is not None and last_rows[perf.name +
"_crit"] is not None:
different_from_last = True
if different_from_last is True:
query = query + ")"
self._cursor.execute(query)
def _insert_sorting(self):
#check and add new columns
self._check_sorting_columns()
#get last row of sorting table
query = "select * from sorting where start_time ORDER BY start_time DESC LIMIT 1"
last_rows = self._cursor.execute(query).fetchone()
total_null = 0
#count null values
if last_rows is not None:
for row in last_rows:
if row is None:
total_null += 1
if last_rows is not None:
total_columns = len(last_rows) - 1
else:
total_columns = 0
start_time = self._info_manager.get_info("START TIME")
query = "INSERT INTO sorting (start_time"
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + perf.name + "_index"
query = query + ") VALUES (" + str(start_time)
different_from_last = self._db_is_new
#check if perfdata items of current run are > (or <) than last row columns
if len(self._perf_manager.get_all_perfdata()) != (total_columns -
total_null):
different_from_last = True
for perf in self._perf_manager.get_all_perfdata():
query = query + ", " + str(perf.counter)
if last_rows is not None and last_rows[perf.name +
"_index"] != perf.counter:
different_from_last = True
if different_from_last is True:
query = query + ")"
self._cursor.execute(query)
def store_perfdata(self, dbname=None):
if dbname != None and dbname != "":
self._db_home = os.path.split(dbname)[0]
self._db_name = os.path.split(dbname)[1]
self._info_manager.set_info("DB FILE",
self._db_home + os.sep + self._db_name)
#if not os.path.isfile(self._db_home + os.sep + self._db_name):
if not os.path.isdir(self._db_home):
os.makedirs(self._db_home)
self.connect()
self._create_tables()
self._db_is_new = True
elif not os.path.isfile(self._db_home + os.sep + self._db_name):
self.connect()
self._create_tables()
self._db_is_new = True
else:
self.connect()
self._insert_runs()
self._insert_thresholds()
self._insert_sorting()
self.close()
def publish_perfdata(self,
type="csv",
start_date=None,
end_date=None,
filename=None,
testcase_name=None,
max_age=24):
if type == "perfmon":
try:
full_file_name = get_python_lib(
) + os.sep + "alyvix" + os.sep + "extra" + os.sep + "alyvixservice.ini"
config = ConfigParser.ConfigParser()
config.read(full_file_name)
db_file = self._info_manager.get_info("DB FILE")
if db_file is not None:
self._db_home = os.path.split(
self._info_manager.get_info("DB FILE"))[0]
self._db_name = os.path.split(
self._info_manager.get_info("DB FILE"))[1]
if testcase_name is None or testcase_name == "":
testcase_name = self._info_manager.get_info(
'TEST CASE NAME')
if testcase_name is None or testcase_name == "":
testcase_name = self._info_manager.get_info('SUITE NAME')
try:
if not config.has_section('db_path'):
config.add_section('db_path')
except:
pass
try:
if not config.has_section('db_max_age'):
config.add_section('db_max_age')
except:
pass
try:
config.get('general', "polling_frequency")
except:
try:
config.add_section('general')
except:
config.set('general', 'polling_frequency', '500')
try:
config.get('general', "push_frequency")
except:
try:
config.add_section('general')
except:
config.set('general', 'push_frequency', '2')
config.set('db_path', testcase_name,
self._db_home + os.sep + self._db_name)
config.set('db_max_age', testcase_name, str(max_age))
with open(full_file_name, 'w') as configfile:
config.write(configfile)
except:
pass
if type == "csv":
start_date_dt = None
end_date_dt = None
for fmt in ('%Y-%m-%d', '%Y-%m-%d %H:%M', '%Y-%m-%d %H:%M:%S'):
try:
start_date_dt = datetime.datetime.strptime(start_date, fmt)
except ValueError:
pass
for fmt in ('%Y-%m-%d', '%Y-%m-%d %H:%M', '%Y-%m-%d %H:%M:%S'):
try:
end_date_dt = datetime.datetime.strptime(end_date, fmt)
except ValueError:
pass
if start_date_dt is None:
raise Exception('invalid start date!')
if end_date_dt is None:
raise Exception('invalid end date!')
if start_date_dt >= end_date_dt:
raise Exception('end date must be greate than start date!')
db_file = self._info_manager.get_info("DB FILE")
if db_file is not None:
self._db_home = os.path.split(
self._info_manager.get_info("DB FILE"))[0]
self._db_name = os.path.split(
self._info_manager.get_info("DB FILE"))[1]
csv_name = filename
if csv_name is None or filename == "":
csv_home = os.path.split(
sys.executable)[0] + os.sep + "share" + os.sep + "alyvix"
csv_name = "alyvix_data"
if self._info_manager.get_info("ROBOT CONTEXT") is True:
csv_home = os.path.dirname(
os.path.abspath(
self._info_manager.get_info("SUITE SOURCE")))
csv_name = self._info_manager.get_info("SUITE NAME")
csv_name = csv_home + os.sep + csv_name + ".csv"
csv_file = open(csv_name, 'w')
csv_writer = csv.writer(csv_file)
self.connect()
#get last row of sorting table
query = "select * from sorting ORDER BY start_time DESC LIMIT 1"
last_sorting_rows = self._cursor.execute(query).fetchone()
#print self._cursor.description
perf_to_query = []
for key in last_sorting_rows.keys():
if key == "start_time":
continue
value = last_sorting_rows[key]
if value is not None:
perf_to_query.append(key.replace("_index", ""))
query = "select datetime(start_time, 'unixepoch','localtime') as start_time"
for column in perf_to_query:
query = query + ", " + column
query = query + " from runs where CAST(strftime('%s', datetime(start_time, 'unixepoch', 'localtime')) AS INT) between CAST(strftime('%s', '" + start_date + "') AS INT) and CAST(strftime('%s', '" + end_date + "') AS INT)"
rows = self._cursor.execute(query).fetchall()
csv_header = []
csv_header.append("start_time")
for perf_column in perf_to_query:
csv_header.append(perf_column)
csv_writer.writerow(csv_header)
for row in rows:
csv_row = []
#start_date_dt = datetime.datetime.utcfromtimestamp(row["start_time"])
#start_date_str = start_date_dt.strftime("%Y-%m-%d %H:%M:%S")
csv_row.append(row["start_time"])
for perf_column in perf_to_query:
csv_row.append(row[perf_column])
csv_writer.writerow(csv_row)
self.close()
csv_file.close()
class ImageFinder(BaseFinder):
def __init__(self, name=None):
"""
init the class
:type name: string
:param name: the object name
"""
#self._main_component = None
#self._sub_components = []
self.is_textfinder = False
self.__threshold = 0.7
self.__timed_out_sub_extra_images = []
self._info_manager = InfoManager()
self._overlapping_factor = self._info_manager.get_info(
"OVERLAPPING TOLERANCE FACTOR")
try:
self._overlapping_factor = int(self._overlapping_factor)
except:
self._overlapping_factor = 10
the_name = "template_finder"
if name is not None:
the_name = name
super(ImageFinder, self).__init__(the_name)
# BaseFinder.__init__(self, the_name)
def set_main_component(self, template_dict, roi_dict=None):
"""
Set the template image that the find method has to find into the source Image.
:type main_template: numpy.ndarray
:param main_template: image of the template
"""
main_template = _Template(template_dict)
if roi_dict is not None:
roi = Roi(roi_dict)
else:
roi = None
self._main_component = (main_template, roi)
#print "main component:",self._main_component
def add_sub_component(self, template_dict, roi_dict):
"""
Add a template that the find method has to find if it has also find the main template.
A roi (region of interest) will be cropped from the source image according to the parameters
roi_x, roi_y, roi_width and roi_height. roi_x and roi_y are relative to the main template x,y coordinates.
The find method will search the sub template only inside the roi area.
:type template_image: numpy.ndarray
:param template_image: image of the template
:type roi_x: int
:param roi_x: x-coordinate of roi
:type roi_y: int
:param roi_y: y-coordinate of roi
:type roi_width: int
:param roi_width: roi width
:type roi_height: int
:param roi_height: roi height
"""
roi = Roi(roi_dict)
sub_template = _Template(template_dict)
self._sub_components.append((sub_template, roi))
def _SetThreshold(self, threshold):
"""
Set the threshold of template matching algorithm. Min value is 0.0, max value is 1.0
threshold=1.0 means that the source image must contain an exact copy of the template image.
threshold=0.0 means that the source image can even not contain the template (with the risk
of false positives).
The default value for the threshold is 0.7
:type threshold: float
:param threshold: threshold value for template matching algorithm
"""
self.__threshold = threshold
def find(self):
"""
find the main template and sub templates into the source image.
:rtype: list[(int, int, int, int)]
:return: x, y, height, width of main template(s)
"""
#tzero = time.time()
time_before_find = time.time()
try:
#x = 1 / 0
#print "main comp:",self._main_component
self._timedout_main_components = []
self._timedout_sub_components = []
self._main_extra_img_log = None
self._sub_extra_imgages_log = []
source_img_auto_set = False
self._objects_found = []
if self._source_image_gray is None or self._source_image_color is None:
screen_capture = ScreenManager()
src_img_color = screen_capture.grab_desktop(
screen_capture.get_color_mat)
self.set_source_image_color(src_img_color)
src_img_gray = cv2.cvtColor(src_img_color, cv2.COLOR_BGR2GRAY)
self.set_source_image_gray(src_img_gray)
source_img_auto_set = True
if str(self._info_manager.get_info('channel')).lower() != 'all':
img_b, img_g, img_r = cv2.split(self._source_image_color)
if str(self._info_manager.get_info('channel')).lower() == 'b':
self._source_image_color = cv2.cvtColor(
img_b, cv2.COLOR_GRAY2BGR)
elif str(
self._info_manager.get_info('channel')).lower() == 'g':
self._source_image_color = cv2.cvtColor(
img_g, cv2.COLOR_GRAY2BGR)
elif str(
self._info_manager.get_info('channel')).lower() == 'r':
self._source_image_color = cv2.cvtColor(
img_r, cv2.COLOR_GRAY2BGR)
self._source_image_gray = cv2.cvtColor(
self._source_image_color, cv2.COLOR_BGR2GRAY)
self.__find_log_folder = datetime.datetime.now().strftime(
"%H_%M_%S") + "_" + "searching"
offset_x = 0
offset_y = 0
main_template = self._main_component[0]
#print "main templ:", main_template
roi = self._main_component[1]
if roi is not None:
y1 = roi.y
y2 = y1 + roi.height
x1 = roi.x
x2 = x1 + roi.width
res = self._info_manager.get_info("RESOLUTION")
y1 = roi.y
y2 = y1 + roi.height
x1 = roi.x
x2 = x1 + roi.width
if roi.unlimited_up is True:
y1 = 0
y2 = roi.y + roi.height
if roi.unlimited_down is True:
y2 = res[1]
if roi.unlimited_left is True:
x1 = 0
x2 = roi.x + roi.width
if roi.unlimited_right is True:
x2 = res[0]
offset_x = x1
offset_y = y1
source_img_height, source_img_width = self._source_image_gray.shape
if y1 < 0:
y1 = 0
elif y1 > source_img_height:
y1 = source_img_height
if y2 < 0:
y2 = 0
elif y2 > source_img_height:
y2 = source_img_height
if x1 < 0:
x1 = 0
elif x1 > source_img_width:
x1 = source_img_width
if x2 < 0:
x2 = 0
elif x2 > source_img_width:
x2 = source_img_width
#print x1,x2,y1,y2
source_image = self._source_image_gray[y1:y2, x1:x2]
else:
source_image = self._source_image_gray
if self._log_manager.is_log_enable() is True:
self._log_manager.save_image(self.__find_log_folder,
"source_img.png", source_image)
self._log_manager.save_image(self.__find_log_folder,
"main_template.png",
main_template.image_data)
#self._timed_out_images.append(source_image.copy())
objects_found = []
analyzed_points = []
self._objects_found = []
w, h = main_template.image_data.shape[::-1]
src_w, src_h = source_image.shape[::-1]
tpl_w = w
tpl_h = h
if src_h < tpl_h or src_w < tpl_w:
self._flag_thread_have_to_exit = False
"""
self._flag_thread_started = False
self._source_image_gray = None
self._source_image_color = None
"""
return []
result = None
res = cv2.matchTemplate(source_image, main_template.image_data,
cv2.TM_CCOEFF_NORMED)
#min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(resacascascsacas)
res_norm = (res * 255).round().clip(min=0).astype(
numpy.uint8
) #numpy.array(res * 255, dtype = numpy.float32) #(res * 255) #.round().astype(numpy.int8)
res_norm = cv2.resize(
res_norm, (source_image.shape[1], source_image.shape[0]),
interpolation=cv2.INTER_CUBIC)
#cv2.imwrite("c:\\log\\res_norm.png",res_norm)
#cv2.imwrite("c:\\log\\res.png",res)
#res_norm.resize(res_norm.shape[0], res_norm.shape[0], 3L, refcheck=False)
if roi is not None:
self._main_extra_img_log = (res_norm, (x1, y1, x2, y2))
else:
self._main_extra_img_log = (res_norm, None)
loc = numpy.where(res >= main_template.threshold)
cnt = 0
for point in zip(*loc[::-1]):
object_found = []
object_found.append([])
object_found.append([])
self.__timed_out_sub_extra_images = []
"""
if self._flag_thread_have_to_exit is True:
self._flag_thread_have_to_exit = False
self._flag_thread_started = False
self._source_image_gray = None
self._source_image_color = None
return []
"""
x = offset_x + point[0]
y = offset_y + point[1]
is_already_found = False
for point_already_analyzed in analyzed_points:
#tolerance_region_w = (tpl_w/2) + (20 * self._scaling_factor)
#tolerance_region_h = (tpl_h/2) + (20 * self._scaling_factor)
tolerance_region_w = (tpl_w / 2) + (
self._overlapping_factor * self._scaling_factor)
tolerance_region_h = (tpl_h / 2) + (
self._overlapping_factor * self._scaling_factor)
if (x >= point_already_analyzed[0] - tolerance_region_w and
x <= point_already_analyzed[0] + tolerance_region_w) and\
(y >= point_already_analyzed[1] - tolerance_region_h and
y <= point_already_analyzed[1] + tolerance_region_h):
is_already_found = True
#print point[0],point_already_analyzed[0],point[1],point_already_analyzed[1]
if is_already_found == False:
#hist_blue = cv2.calcHist([self._source_image_color[y:y+h, x:x+w]], [0], None, [256], [0, 256])
#hist_green = cv2.calcHist([self._source_image_color[y:y+h, x:x+w]], [1], None, [256], [0, 256])
#hist_red = cv2.calcHist([self._source_image_color[y:y+h, x:x+w]], [2], None, [256], [0, 256])
hist_rgb = cv2.calcHist(
[self._source_image_color[y:y + h, x:x + w]],
[0, 1, 2], None, [8, 8, 8], [0, 256, 0, 256, 0, 256])
hist_rgb = cv2.normalize(hist_rgb).flatten()
#comp_blue = cv2.compareHist(hist_blue,main_template.hist_blue,cv2.cv.CV_COMP_BHATTACHARYYA)
#comp_green = cv2.compareHist(hist_green, main_template.hist_green, cv2.cv.CV_COMP_BHATTACHARYYA)
#comp_red = cv2.compareHist(hist_red, main_template.hist_red, cv2.cv.CV_COMP_BHATTACHARYYA)
comp_rgb = cv2.compareHist(hist_rgb,
main_template.hist_rgb,
cv2.cv.CV_COMP_BHATTACHARYYA)
analyzed_points.append((x, y, w, h))
#if (comp_blue > 0.3 or comp_green > 0.3 or comp_red > 0.3) and main_template.match_colors is True:
if comp_rgb > 0.2 and main_template.match_colors is True:
continue
self._timedout_main_components.append(
MatchResult((x, y, w, h)))
#self._log_manager.set_main_object_points((x, y, w, h))
if self._log_manager.is_log_enable() is True:
img_copy = source_image.copy()
cv2.rectangle(img_copy,
((x - offset_x), (y - offset_y)),
((x - offset_x) + w, (y - offset_y) + h),
(0, 0, 255), 2)
self._log_manager.save_image(self.__find_log_folder,
"object_found.png",
img_copy)
sub_templates_len = len(self._sub_components)
if sub_templates_len == 0:
main_object_result = MatchResult((x, y, w, h))
object_found[0] = main_object_result
object_found[1] = None
objects_found.append(object_found)
else:
#print sub_templates_len
total_sub_template_found = 0
sub_objects_found = []
timed_out_objects = []
timed_out_sub_extra_images = []
for sub_template in self._sub_components:
"""
if self._flag_thread_have_to_exit is True:
self._flag_thread_have_to_exit = False
self._flag_thread_started = False
self._source_image_gray = None
self._source_image_color = None
return []
"""
sub_template_coordinates = self._find_sub_template(
(x, y), sub_template)
if sub_template_coordinates is not None:
sub_objects_found.append(
sub_template_coordinates)
total_sub_template_found = total_sub_template_found + 1
timed_out_objects.append(
(sub_template_coordinates,
sub_template[1]))
else:
timed_out_objects.append(
(None, sub_template[1]))
#timed_out_sub_extra_images.append()
if total_sub_template_found == sub_templates_len:
#good_points.append((x, y, w, h))
main_object_result = MatchResult((x, y, w, h))
object_found[0] = main_object_result
object_found[1] = sub_objects_found
objects_found.append(object_found)
self._timedout_sub_components.append(timed_out_objects)
self._sub_extra_imgages_log.append(
self.__timed_out_sub_extra_images)
#self._log_manager.save_object_image("img_" + str(cnt) + ".png")
cnt = cnt + 1
if len(objects_found) > 0:
self._objects_found = copy.deepcopy(objects_found)
if self._is_object_finder is True:
self._objects_found_of_sub_object_finder.extend(
copy.deepcopy(objects_found))
#if wait_disappear is False:
#if self._info_manager.get_info('LOG OBJ IS FOUND') is False:
if self._info_manager.get_info(
'LOG OBJ FINDER TYPE') is None:
self._info_manager.set_info('LOG OBJ FINDER TYPE', 0)
self._log_manager.save_objects_found(
self._name,
self.get_source_image_gray(),
self._objects_found,
[x[1] for x in self._sub_components],
self.main_xy_coordinates,
self.sub_xy_coordinates,
finder_type=0)
self._cacheManager.SetLastObjFoundFullImg(
self._source_image_gray)
if source_img_auto_set is True:
self._source_image_gray = None
self._source_image_color = None
source_img_auto_set = False
"""
if self._flag_check_before_exit is True:
self._flag_checked_before_exit = True
"""
#time.sleep(40)
self._flag_thread_started = False
if self._calc_last_finder_time is True:
self._last_finder_time = time.time() - time_before_find
self._calc_last_finder_time = False
#print time.time() - tzero
return self._objects_found
except Exception, err:
self._log_manager.save_exception(
"ERROR", "an exception has occurred: " + str(err) +
" on line " + str(sys.exc_traceback.tb_lineno))
self._flag_thread_started = False
return []
class PerfManager:
def __init__(self):
self.performance_desc_string = ""
self._info_manager = InfoManager()
self._info_manager.tiny_update()
self._last_filled_perf = None
self.not_ok_perfdata = 0
def clear_perfdata(self):
global perfdata_list
perfdata_list = []
def add_perfdata(self, name, value=None, warning_threshold=None, critical_threshold=None, state=None, inittimestamp=False):
global perfdata_list
global perf_counter
global declaration_counter
declaration_counter = declaration_counter + 1
perf_data = _PerfData()
perf_data.name = str(name)
try:
perf_data.value = float(value)
if perf_data.counter == -1:
perf_data.counter = perf_counter
perf_counter = perf_counter + 1
except:
perf_data.value = ""
try:
perf_data.warning_threshold = float(warning_threshold)
except:
perf_data.warning_threshold = ""
try:
perf_data.critical_threshold = float(critical_threshold)
except:
perf_data.critical_threshold = ""
if state is not None:
try:
perf_data.state = int(state)
except:
perf_data.state = 2 #3
else:
try:
perf_data.state = int(os.getenv("exitcode"))
except:
perf_data.state = 2 #3
if perf_data.value != "" and perf_data.critical_threshold != "" and perf_data.value >= perf_data.critical_threshold:
perf_data.state = 2
elif perf_data.value != "" and perf_data.warning_threshold != "" and perf_data.value >= perf_data.warning_threshold:
perf_data.state = 1
elif perf_data.value != "":
perf_data.state = 0
initts = False
if inittimestamp == True:
initts = True
try:
if str(inittimestamp).lower() == "true":
initts = True
except:
pass
if initts == True:
perf_data.timestamp = int(time.time() * 1000)
current_keyword_timestamp_array = self._info_manager.get_info('KEYWORD TIMESTAMP')
# current_keyword_timestamp_array_copy = copy.deepcopy(current_keyword_timestamp_array)
timestamp_modified = False
for cnt_kts in xrange(len(current_keyword_timestamp_array)):
if current_keyword_timestamp_array[cnt_kts][0] == name:
timestamp_modified = True
current_keyword_timestamp_array[cnt_kts] = (name, perf_data.timestamp)
break
if timestamp_modified is False:
current_keyword_timestamp_array.append((name, perf_data.timestamp))
self._info_manager.set_info('KEYWORD TIMESTAMP',
current_keyword_timestamp_array)
else:
perf_data.timestamp = None
keywords_timestamp_array = self._info_manager.get_info('KEYWORD TIMESTAMP')
for cnt_kts in xrange(len(keywords_timestamp_array)):
if keywords_timestamp_array[cnt_kts][0] == name:
perf_data.timestamp = keywords_timestamp_array[cnt_kts][1]
break
perf_data.timeout_threshold = None
keywords_timeout_array = self._info_manager.get_info('KEYWORD TIMEOUT')
for cnt_ktout in xrange(len(keywords_timeout_array)):
if keywords_timeout_array[cnt_ktout][0] == name:
perf_data.timeout_threshold = keywords_timeout_array[cnt_ktout][1]
break
cnt = 0
for perf_data_in_list in perfdata_list:
if perf_data_in_list.name == perf_data.name:
perf_data.custom_tags = perfdata_list[cnt].custom_tags
perf_data.custom_fields = perfdata_list[cnt].custom_fields
perfdata_list[cnt] = perf_data
return
cnt = cnt + 1
perfdata_list.append(perf_data)
def rename_perfdata(self, old_name, new_name, warning_threshold="", critical_threshold=""):
global perfdata_list
perfdata_list_copy = copy.deepcopy(perfdata_list)
for perf_data_in_list in perfdata_list:
if perf_data_in_list.name == str(old_name):
if perf_data_in_list.value == "":
raise Exception("The Keyword value is None")
keywords_timestamp_array = copy.deepcopy(self._info_manager.get_info('KEYWORD TIMESTAMP'))
cnt = 0
for cnt_kts in xrange(len(keywords_timestamp_array)):
if keywords_timestamp_array[cnt_kts][0] == str(new_name):
del keywords_timestamp_array[cnt_kts]
old_name_exists = False
for perf_data_in_list in perfdata_list:
for cnt_kts in xrange(len(keywords_timestamp_array)):
if keywords_timestamp_array[cnt_kts][0] == str(old_name):
keywords_timestamp_array[cnt_kts] = (new_name, keywords_timestamp_array[cnt_kts][1])
self._info_manager.set_info('KEYWORD TIMESTAMP', keywords_timestamp_array)
if perf_data_in_list.name == str(new_name):
deleted_on_rename_list.append(copy.deepcopy(perfdata_list_copy[cnt]))
del perfdata_list_copy[cnt]
cnt = cnt - 1
elif perf_data_in_list.name == str(old_name):
old_name_exists = True
perfdata_list_copy[cnt].name = str(new_name)
try:
new_warning_threshold = float(warning_threshold)
perfdata_list_copy[cnt].warning_threshold = new_warning_threshold
except:
pass
try:
new_critical_threshold = float(critical_threshold)
perfdata_list_copy[cnt].critical_threshold = new_critical_threshold
except:
pass
cnt = cnt + 1
if old_name_exists is False:
raise Exception("The keyword name does not exist")
perfdata_list = copy.deepcopy(perfdata_list_copy)
cnt = 0
scraper_list_copy = copy.deepcopy(self._info_manager.get_info('SCRAPER COLLECTION'))
for sc_in_list in self._info_manager.get_info('SCRAPER COLLECTION'):
name = sc_in_list[0]
if name == old_name:
scraper_list_copy[cnt] = (new_name, sc_in_list[1], sc_in_list[2])
cnt += 1
self._info_manager.set_info('SCRAPER COLLECTION', copy.deepcopy(scraper_list_copy))
def set_perfdata_extra(self, name, extra):
global perfdata_list
for perf_data_in_list in perfdata_list:
if perf_data_in_list.name == str(name):
perf_data_in_list.extra = str(extra)
def add_perfdata_tag(self, perf_name, tag_name, tag_value):
global perfdata_list
keyword_exist = False
for perf_data_in_list in perfdata_list:
if perf_data_in_list.name == str(perf_name) or str(perf_name) == "all":
perf_data_in_list.custom_tags[str(tag_name)] = str(tag_value)
keyword_exist = True
if keyword_exist is False:
raise Exception("The keyword name does not exist")
def add_perfdata_field(self, perf_name, field_name, field_value):
global perfdata_list
keyword_exist = False
for perf_data_in_list in perfdata_list:
if perf_data_in_list.name == str(perf_name) or str(perf_name) == "all":
perf_data_in_list.custom_fields[str(field_name)] = str(field_value)
keyword_exist = True
if keyword_exist is False:
raise Exception("The keyword name does not exist")
def get_perfdata(self, name, delete_perfdata=False):
keyword_exist = False
global perfdata_list
ret_val = None
perfdata_list_copy = copy.deepcopy(perfdata_list)
cnt = 0
for perf_data_in_list in perfdata_list:
if perf_data_in_list.name == name:
keyword_exist = True
if perf_data_in_list.value == "" or perf_data_in_list.value is None:
raise Exception('The performance measure is None')
if delete_perfdata is True:
del perfdata_list_copy[cnt]
ret_val = perf_data_in_list.value
cnt = cnt + 1
perfdata_list = copy.deepcopy(perfdata_list_copy)
perfdata_list_copy = []
if keyword_exist is False:
raise Exception("The keyword name does not exist")
return ret_val
def get_all_perfdata(self):
global perfdata_list
return copy.deepcopy(perfdata_list)
def delete_perfdata(self, name):
global perfdata_list
perfdata_list_copy = copy.deepcopy(perfdata_list)
cnt = 0
for perf_data_in_list in perfdata_list:
if perf_data_in_list.name == name:
del perfdata_list_copy[cnt]
cnt = cnt + 1
perfdata_list = copy.deepcopy(perfdata_list_copy)
perfdata_list_copy = []
def sum_perfdata(self, *names, **kwargs):
global perfdata_list
sum = None
value_to_sum = []
index_to_delete = []
perfdata_list_copy = []
delete_perf = False
perf_name = ""
warning_threshold = None
critical_threshold = None
try:
delete_perf = kwargs['delete_perfdata']
except:
pass
try:
perf_name = kwargs['name']
except:
pass
try:
warning_threshold = float(kwargs['warning_threshold'])
except:
pass
try:
critical_threshold = float(kwargs['critical_threshold'])
except:
pass
biggest_timestamp = 0
smallest_timestamp = 10413792000000 #2300/01/01
value_of_last_perf = None
timeout_of_last_perf = None
all_name_exist = True
for name in names:
name_exists = False
for perf_data_in_list in perfdata_list:
if perf_data_in_list.name == name:
name_exists = True
if name_exists is False:
raise Exception("The keyword name (" + name + ") does not exist")
cnt = 0
for perf_data_in_list in perfdata_list:
for name in names:
if perf_data_in_list.name == name and perf_data_in_list.value != ""\
and perf_data_in_list.value is not None:
value_to_sum.append(perf_data_in_list.value)
sum = 0 #init sum
if perf_data_in_list.timestamp is None:
raise Exception(name + ": The performance timestamp is None")
if perf_data_in_list.timestamp < smallest_timestamp:
smallest_timestamp = perf_data_in_list.timestamp
if perf_data_in_list.timestamp > biggest_timestamp:
biggest_timestamp = perf_data_in_list.timestamp
value_of_last_perf = perf_data_in_list.value
timeout_of_last_perf = perf_data_in_list.timeout_threshold
if delete_perf is True:
index_to_delete.append(cnt)
elif perf_data_in_list.name == name and (perf_data_in_list.value == ""\
or perf_data_in_list.value is None):
raise Exception("The performance measure (" + name + ") is None")
cnt = cnt + 1
cnt = 0
for perf in perfdata_list:
if cnt not in index_to_delete:
perfdata_list_copy.append(perf)
cnt = cnt + 1
perfdata_list = copy.deepcopy(perfdata_list_copy)
perfdata_list_copy = []
for perf in value_to_sum:
sum = sum + perf
if perf_name != "":
self.add_perfdata(perf_name, sum, warning_threshold, critical_threshold)
for perf in perfdata_list:
if perf.name == perf_name:
perf.timestamp = smallest_timestamp
current_keyword_timestamp_array = self._info_manager.get_info('KEYWORD TIMESTAMP')
# current_keyword_timestamp_array_copy = copy.deepcopy(current_keyword_timestamp_array)
timestamp_modified = False
for cnt_kts in xrange(len(current_keyword_timestamp_array)):
if current_keyword_timestamp_array[cnt_kts][0] == perf_name:
timestamp_modified = True
current_keyword_timestamp_array[cnt_kts] = (perf_name, smallest_timestamp)
break
if timestamp_modified is False:
current_keyword_timestamp_array.append((perf_name, smallest_timestamp))
self._info_manager.set_info('KEYWORD TIMESTAMP',
current_keyword_timestamp_array)
try:
end_timestamp_only_for_summed_perf = (float(biggest_timestamp)/1000) + value_of_last_perf
perf.end_timestamp_only_for_summed_perf = int(end_timestamp_only_for_summed_perf*1000)
except:
try:
end_timestamp_only_for_summed_perf = (float(biggest_timestamp)/1000) + timeout_of_last_perf
perf.end_timestamp_only_for_summed_perf = int(end_timestamp_only_for_summed_perf*1000)
except:
perf.end_timestamp_only_for_summed_perf = biggest_timestamp
return sum
def get_last_filled(self):
#self.order_perfdata()
return self._last_filled_perf
def order_perfdata(self):
global perfdata_list
perfdata_ok_list = []
perfdata_notok_list = []
for perf_data_in_list in perfdata_list:
if perf_data_in_list.counter != -1:
perfdata_ok_list.append(copy.deepcopy(perf_data_in_list))
else:
perfdata_notok_list.append(copy.deepcopy(perf_data_in_list))
self.not_ok_perfdata = self.not_ok_perfdata + 1
perfdata_ok_list.sort(key=lambda x: x.counter, reverse=False)
if len(perfdata_ok_list) > 0:
self._last_filled_perf = perfdata_ok_list[-1].name
perfdata_list = []
perfdata_list = perfdata_ok_list + perfdata_notok_list
def get_perfdata_string(self):
global perfdata_list
ret_string = ""
cnt = 0
for perfdata in perfdata_list:
name = perfdata.name
if perfdata.value == '' or perfdata.value is None:
value = ''
else:
value = ("%.3f" % perfdata.value)
if perfdata.warning_threshold == '' or perfdata.warning_threshold is None:
warning = ''
else:
warning = ("%.3f" % perfdata.warning_threshold)
if perfdata.critical_threshold == '' or perfdata.critical_threshold is None:
critical = ''
else:
critical = ("%.3f" % perfdata.critical_threshold)
if cnt == 0:
ret_string = ret_string + name + "=" + value + "s;" + warning + ";" + critical + ";;"
else:
ret_string = ret_string + " " + name + "=" + value + "s;" + warning + ";" + critical + ";;"
cnt = cnt + 1
return ret_string.replace("=s;;;;","=;;;;")
def get_output(self, message=None, print_output=True):
prefix_robot_framework = ""
global perf_counter
global declaration_counter
global perfdata_list
global timedout_finders
self.order_perfdata()
exitcode = self.get_exitcode()
performanceData = self.get_perfdata_string()
if performanceData is not "":
performanceData = "|" + performanceData
else:
performanceData = ""
if self._info_manager.get_info("RESOLUTION BGS OK") is False:
self.performance_desc_string = self.performance_desc_string + \
"Alyvix Background Service is installed but the screen resolution doesn't match with the config file"\
+ performanceData + os.linesep
elif message is not None:
self.performance_desc_string = self.performance_desc_string + message + performanceData + os.linesep
elif exitcode == 3 and self.not_ok_perfdata == len(perfdata_list):
self.performance_desc_string = self.performance_desc_string + \
"UNKNOWN: some error occurred, no measure was taken" + \
performanceData + os.linesep
prefix_robot_framework = "*WARN*"
elif exitcode == 3 and self.not_ok_perfdata > 0:
self.performance_desc_string = self.performance_desc_string + \
"UNKNOWN: one transaction breaks the test case, the last received measure is " + \
self._last_filled_perf + " " + performanceData + os.linesep
prefix_robot_framework = "*WARN*"
elif exitcode == 2 and self.not_ok_perfdata == len(perfdata_list):
self.performance_desc_string = self.performance_desc_string + \
"CRITICAL: some error occurred, no measure was taken" + \
performanceData + os.linesep
prefix_robot_framework = "*WARN*"
elif exitcode == 2 and self.not_ok_perfdata > 0:
self.performance_desc_string = self.performance_desc_string +\
"CRITICAL: one transaction breaks the test case, the last received measure is " +\
self._last_filled_perf + " " + performanceData + os.linesep
prefix_robot_framework = "*WARN*"
elif exitcode == 2:
self.performance_desc_string = self.performance_desc_string +\
"CRITICAL: one or more transactions run critical" +\
performanceData + os.linesep
prefix_robot_framework = "*WARN*"
elif exitcode == 1 and self.not_ok_perfdata == len(perfdata_list):
self.performance_desc_string = self.performance_desc_string + \
"WARNING: some error occurred, no measure was taken" + \
performanceData + os.linesep
prefix_robot_framework = "*WARN*"
elif exitcode == 1 and self.not_ok_perfdata > 0:
self.performance_desc_string = self.performance_desc_string +\
"WARNING: one transaction breaks the test case, the last received measure is " +\
self._last_filled_perf + " " + performanceData + os.linesep
prefix_robot_framework = "*WARN*"
elif exitcode == 1:
self.performance_desc_string = self.performance_desc_string +\
"WARNING: one or more transactions run in warning" +\
performanceData + os.linesep
prefix_robot_framework = "*WARN*"
elif exitcode == 0 and self.not_ok_perfdata == len(perfdata_list):
self.performance_desc_string = self.performance_desc_string + \
"Ok: some error occurred, no measure was taken" + \
performanceData + os.linesep
elif exitcode == 0 and self.not_ok_perfdata > 0:
self.performance_desc_string = self.performance_desc_string +\
"OK: one transaction breaks the test case, the last received measure is " +\
self._last_filled_perf + " " + performanceData + os.linesep
else:
self.performance_desc_string = self.performance_desc_string +\
"OK: all transactions run ok" +\
performanceData + os.linesep
if declaration_counter == 0 and perf_counter == 0:
self.performance_desc_string = self.performance_desc_string.replace("some error occurred, no measure was taken",
"no transaction is declared")
for perfdata in perfdata_list:
name = perfdata.name
if perfdata.value != "" and perfdata.critical_threshold != "" and perfdata.value >= perfdata.critical_threshold:
perfdata.state = 2
elif perfdata.value != "" and perfdata.warning_threshold != "" and perfdata.value >= perfdata.warning_threshold:
perfdata.state = 1
elif perfdata.value != "":
perfdata.state = 0
state = perfdata.state
if perfdata.value == '' or perfdata.value is None:
value = perfdata.value
else:
value = ("%.3f" % perfdata.value)
if state == 0 and value == "":
self.performance_desc_string = self.performance_desc_string +\
"OK: " + name + " measures None" + os.linesep
elif state == 0:
self.performance_desc_string = self.performance_desc_string +\
"OK: " + name + " measures " + value + "s" + os.linesep
elif state == 1 and value == "":
self.performance_desc_string = self.performance_desc_string +\
"WARNING: " + name + " measures None" + os.linesep
elif state == 1:
self.performance_desc_string = self.performance_desc_string +\
"WARNING: " + name + " measures " + value + "s" + os.linesep
elif state == 2 and value == "":
self.performance_desc_string = self.performance_desc_string +\
"CRITICAL: " + name + " measures None" + os.linesep
elif state == 2:
self.performance_desc_string = self.performance_desc_string + \
"CRITICAL: " + name + " measures " + value + "s" + \
os.linesep
else:
self.performance_desc_string = self.performance_desc_string +\
"UNKNOWN: " + name + " time is null." + os.linesep
if self._info_manager.get_info("ROBOT CONTEXT") is True:
suite_source = self._info_manager.get_info("SUITE SOURCE")
file_name = suite_source.split(os.sep)[-1].split(".")[0]
result_dir = tempfile.gettempdir() + os.sep + "alyvix_pybot" + os.sep + file_name + os.sep + "result"
else:
result_dir = "."
if not os.path.exists(result_dir):
os.makedirs(result_dir)
text_file = open(result_dir + os.sep + "message.txt", "w")
text_file.write(self.performance_desc_string)
text_file.close()
text_file = open(result_dir + os.sep + "exitcode.txt", "w")
text_file.write(str(exitcode))
text_file.close()
if print_output is True:
print prefix_robot_framework + self.performance_desc_string
return exitcode
def get_exitcode(self):
global perfdata_list
exitcode = 0
not_ok_exitcode = None
for perfdata in perfdata_list:
if perfdata.value is None or perfdata.value == "":
if not_ok_exitcode is None:
not_ok_exitcode = perfdata.state
elif perfdata.state > not_ok_exitcode:
not_ok_exitcode = perfdata.state
if len(perfdata_list) == 0 and len(deleted_on_rename_list) != 0:
perfdata_list = copy.deepcopy(deleted_on_rename_list)
for perfdata in perfdata_list:
if perfdata.value is None or perfdata.value == "":
if perfdata.state > exitcode:
exitcode = perfdata.state
if perfdata.critical_threshold is not None and perfdata.critical_threshold != "":
if perfdata.value >= int(perfdata.critical_threshold):
if 2 > exitcode:
exitcode = 2
if perfdata.warning_threshold is not None and perfdata.warning_threshold != "":
if perfdata.value >= int(perfdata.warning_threshold):
if 1 > exitcode:
exitcode = 1
"""
state = perfdata.state
if state == 0 and self.not_ok_perfdata == 0:
#we are in the init step
if exitcode == 2: #3
exitcode = 0
elif state == 1 or state == 2:
if exitcode == 2: #3
exitcode = state
elif state > exitcode:
exitcode = state
if exitcode == 2:
break
"""
if not_ok_exitcode != None and self.not_ok_perfdata > 0:
exitcode = not_ok_exitcode
if self.not_ok_perfdata > 0:
try:
exitcode = int(os.getenv("exitcode"))
except:
pass
return exitcode
# Alyvix allows you to automate and monitor all types of applications
# Copyright (C) 2015 Alan Pipitone
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# Developer: Alan Pipitone (Violet Atom) - http://www.violetatom.com/
# Supporter: Wuerth Phoenix - http://www.wuerth-phoenix.com/
# Official website: http://www.alyvix.com/
from alyvix.tools.info import InfoManager
#update all info
info_manager = InfoManager()
info_manager.update()
info_manager.set_info('OVERLAPPING TOLERANCE FACTOR', 10)
info_manager.set_info('ACTIONS DELAY', 2)
# Alyvix allows you to automate and monitor all types of applications
# Copyright (C) 2015 Alan Pipitone
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# Developer: Alan Pipitone (Violet Atom) - http://www.violetatom.com/
# Supporter: Wuerth Phoenix - http://www.wuerth-phoenix.com/
# Official website: http://www.alyvix.com/
from alyvix.tools.info import InfoManager
#update all info
info_manager = InfoManager()
info_manager.update()
info_manager.set_info('OVERLAPPING TOLERANCE FACTOR', 10)
info_manager.set_info('ACTIONS DELAY', 2)
