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Control start_instance via an env var #241

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Merged
merged 1 commit into from
Mar 30, 2022
Merged

Control start_instance via an env var #241

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1 change: 1 addition & 0 deletions .github/workflows/ci.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -142,6 +142,7 @@ jobs:
env:
ANSYSLMD_LICENSE_FILE: ${{ format('1055@{0}', secrets.LICENSE_SERVER) }}
PYFLUENT_FLUENT_PORT: 63084
PYFLUENT_START_INSTANCE: 0

- name: Upload HTML Documentation
uses: actions/upload-artifact@v2
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8 changes: 6 additions & 2 deletions ansys/fluent/core/launcher/launcher.py
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Expand Up @@ -78,7 +78,7 @@ def launch_fluent(
start_timeout: int = 100,
additional_arguments: str = "",
env: Dict[str, Any] = None,
start_instance: bool = True,
start_instance: bool = None,
ip: str = None,
port: int = None,
cleanup_on_exit: bool = True,
Expand Down Expand Up @@ -118,7 +118,9 @@ def launch_fluent(
start_instance : bool, optional
When False, connect to an existing Fluent instance at ``ip``
and ``port``, which default to ``'127.0.0.1'`` at 63084.
Otherwise, launch a local instance of Fluent. Default is True.
Otherwise, launch a local instance of Fluent. Default is True
which can be overwritten by the environment variable
``PYFLUENT_START_INSTANCE=<0 or 1>``.

ip : str, optional
IP address to connect to existing Fluent instance. Used only
Expand All @@ -142,6 +144,8 @@ def launch_fluent(
Fluent session.
"""
argvals = locals()
if start_instance is None:
start_instance = bool(int(os.getenv("PYFLUENT_START_INSTANCE", "1")))
if start_instance:
exe_path = _get_fluent_exe_path()
launch_string = exe_path
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8 changes: 6 additions & 2 deletions examples/00-fluent/mixing_elbow_settings_api.py
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Expand Up @@ -39,7 +39,8 @@

###############################################################################

# First, connect with a Fluent server
# First, download the geometry file and start Fluent as a service with
# Meshing Mode, Double Precision, Number of Processors 4

import ansys.fluent.core as pyfluent
from ansys.fluent.core import examples
Expand All @@ -48,7 +49,10 @@
import_filename = examples.download_file(
"mixing_elbow.pmdb", "pyfluent/mixing_elbow"
)
s = pyfluent.launch_fluent(start_instance=False)

s = pyfluent.launch_fluent(
meshing_mode=True, precision="double", processor_count="4"
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Contributor Author

@mkundu1 mkundu1 Mar 30, 2022

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This will now look like standalone run, although it will connect to a docker container in github CI.

)

###############################################################################

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8 changes: 6 additions & 2 deletions examples/00-fluent/mixing_elbow_tui_api.py
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Expand Up @@ -38,7 +38,8 @@

###############################################################################

# First, connect with a Fluent server
# First, download the geometry file and start Fluent as a service with
# Meshing Mode, Double Precision, Number of Processors 4

import ansys.fluent.core as pyfluent
from ansys.fluent.core import examples
Expand All @@ -47,7 +48,10 @@
import_filename = examples.download_file(
"mixing_elbow.pmdb", "pyfluent/mixing_elbow"
)
s = pyfluent.launch_fluent(start_instance=False)

s = pyfluent.launch_fluent(
meshing_mode=True, precision="double", processor_count="4"
)

###############################################################################

Expand Down