The logger ini is used to store the events, KPIs. In addition, this ini is used to set the attributes for the live plot There are three different complexity levels available for creating a production. Lvl1 is the most complex production. The level is saved in the section Type.
type: defines the lvl: 'lvl1', 'lvl2' or 'lvl3'
[Type]
type = 'lvl2'
Main Structure
Key | Value |
---|---|
log_events | bool: True or False, defines if all events should be saved |
time_interval | defines time interval for the calculation of the kpis over time |
log_summary | defines, which kpis should be logged for a summary report: bool (True or False) |
log_time | defines, which kpis should be logged over time intervals: bool (True or Flase) |
the storage folder depends on the path defined for KPIs
Example
[KPIs]
time_interval=100
log_summary=True
log_time=True
log_events=False
This section copies all data from the specified folder if desired and saves it to the logger folder _ini
. The main purpose is to store the conifg files (ini-file) at the KPIs.
Main Structure
Key | Value |
---|---|
addIni | bool: True or False |
path | relative path to the config path |
the storage folder depends on the path defined for KPIs
Example
[ConfigIni]
addIni=True
path="/example/config/"
it is possible to display live KPIs in a graph
Main Structure
Key | Value |
---|---|
plot | bool: True or False |
number_of_points_x | defines how many data points are shown at once, until the graph overflows |
data |
|
the following types are defined: machine, transporter, queue, product, transporter_distribution, simulation
Example
[Plot]
plot=False
number_of_points_x=15
#max 3 values
data=[{'object_name':'all','kpi':'AE','type':'machine'},{'object_name':'all','kpi':'AUITp','type':'transporter'},{'object_name':'all','kpi':'AOET','type':'product'}]
Main Structure
Key | Value |
---|---|
csv | bool: True or False |
database | bool: True or False |
path | path for csv output |
sql_alchemy_database_uri | only needed if database True, path to database |
the following types are defined: machine, transporter, queue, product, transporter_distribution, simulation
Example
[Save]
csv = True
database = True
path="/ontologysim/example/log/"
sql_alchemy_database_uri = "sqlite:///ontologysim/ProductionSimulation/database/SimulationRun.db"
The KPIs section defines how the individual events should be logged
Main Structure
Key | Value |
---|---|
log_events | bool: True or False, defines if all events should be saved |
time_interval | defines time interval for the calculation of the kpis over time |
log_summary | defines, which kpis should be logged for a summary report: for types view Logger_Enum |
log_time | defines, which kpis should be logged over time intervals: for types view Logger_Enum |
the storage folder depends on the path defined for KPIs
Example
[KPIs]
time_interval=100
log_summary= ["transporter"]
log_time=["machine"]
log_events=False
This section copies all data from the specified folder if desired and saves it to the logger folder _ini
. The main purpose is to store the conifg files (ini-file) at the KPIs.
Main Structure
Key | Value |
---|---|
addIni | bool: True or False |
path | relative path to the config path |
the storage folder depends on the path defined for KPIs
Example
[ConfigIni]
addIni=True
path="/example/config/"
it is possible to display live KPIs in a graph
Main Structure
Key | Value |
---|---|
plot | bool: True or False |
number_of_points_x | defines how many data points are shown at once, until the graph overflows |
data |
|
the following types are defined: machine, transporter, queue, product, transporter_distribution, simulation
Example
[Plot]
plot=False
number_of_points_x=15
#max 3 values
data=[{'object_name':'all','kpi':'AE','type':'machine'},{'object_name':'all','kpi':'AUITp','type':'transporter'},{'object_name':'all','kpi':'AOET','type':'product'}]
Main Structure
Key | Value |
---|---|
csv | bool: True or False |
database | bool: True or False |
path | path for csv output |
sql_alchemy_database_uri | only needed if database True, path to database |
the following types are defined: machine, transporter, queue, product, transporter_distribution, simulation
Example
[Save]
csv = True
database = True
path="/ontologysim/example/log/"
sql_alchemy_database_uri = "sqlite:///ontologysim/ProductionSimulation/database/SimulationRun.db"
currently not available
this file is available in example/config/logger_config_3.ini
[Type]
type = 'lvl3'
[KPIs]
time_interval=100
log_summary=True
log_time=True
log_events=False
[ConfigIni]
addIni=False
path="/example/config/"
[Plot]
plot=False
number_of_points_x=15
#max 3 values
data=[{'object_name':'all','kpi':'AE','type':'machine'},{'object_name':'all','kpi':'AUITp','type':'transporter'},{'object_name':'all','kpi':'AOET','type':'product'}]
[Save]
csv = True
database = True
path="/ontologysim/example/log/"
sql_alchemy_database_uri = "sqlite:///ontologysim/ProductionSimulation/database/SimulationRun.db"
this file is available in example/config/logger_config_2.ini
[Type]
type = 'lvl2'
[KPIs]
time_interval=100
log_summary= ["transporter"]
log_time=["machine"]
log_events=False
[ConfigIni]
addIni=False
path="/example/config/"
[Plot]
plot=False
number_of_points_x=15
#max 3 values
data=[{'object_name':'all','kpi':'AE','type':'machine'},{'object_name':'all','kpi':'AUITp','type':'transporter'},{'object_name':'all','kpi':'AOET','type':'product'}]
[Save]
csv = True
database = True
path="/ontologysim/example/log/"
sql_alchemy_database_uri = "sqlite:///ontologysim/ProductionSimulation/database/SimulationRun.db"