Mod: -

anisotropy/__init__.py

@@ -23,6 +23,9 @@ import os
 env = dict(
     ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
 )
+env.update(
+    CLI = os.path.join(env["ROOT"], "anisotropy/core/cli.py")
+)
 env.update(
     BUILD = os.path.join(env["ROOT"], "build"),
     LOG = os.path.join(env["ROOT"], "logs"),

anisotropy/core/cli.py

@@ -43,7 +43,8 @@ import logging
 )
 def compute(path, configFile, nprocs, stage, overwrite):
     from anisotropy.core.runner import UltimateRunner
-    from anisotropy.core.config import Config, DefaultConfig
+    from anisotropy.core.config import DefaultConfig
+    from copy import deepcopy
 
     config = DefaultConfig() 
 
@@ -57,7 +58,18 @@ def compute(path, configFile, nprocs, stage, overwrite):
     )
     config.expand()
 
-    runner = UltimateRunner()
+    baseRunner = UltimateRunner(config = config, exec_id = True)
+    queue = []
+
+    for case in config.cases:
+        caseConfig = deepcopy(config)
+        caseConfig.cases = [ case ]
+
+        caseRunner = UltimateRunner(config = caseConfig)
+        caseRunner._exec_id = baseRunner._exec_id
+        queue.append(caseRunner)
+
+    baseRunner.parallel(queue)
 
 
 class LiteralOption(click.Option):

anisotropy/core/config.py

@@ -87,7 +87,9 @@ class DefaultConfig(Config):
                 "nprocs": 1,
                 "stage": "all",
                 "overwrite": False,
-
+                "database": "anisotropy.db",
+                "build": "build",
+                "logs": "logs"
             },
             "structures": []
         }

anisotropy/core/runner.py

@@ -4,19 +4,55 @@
 
 from datetime import datetime
 
+from anisotropy.core.config import DefaultConfig
+from anisotropy.database import *
+from anisotropy.salomepl.runner import SalomeRunner
 import anisotropy.samples as samples
 
 class UltimateRunner(object):
-    def __init__(self):
+    def __init__(self, config = None, exec_id = False):
         
-        self.database = Database(..)
+        self.config = config or DefaultConfig()
+
+        self.database = Database(self.config["database"])
         self.datebase.setup()
 
-        self._exec = Execution(date = datetime.now())
-        self._exec.save()
+        if exec_id:
+            self._exec_id = Execution(date = datetime.now())
+            self._exec_id.save()
+
+    def casePath(self):
+        case = self.config.cases[0]
+
+        return os.path.join(
+            self.config["build"], 
+            case["label"], 
+            "direction-{}".format(str(case["direction"]).replace(" ", "")), 
+            "theta-{}".format(case["theta"])
+        )
 
     def computeMesh(self):
-        pass
+
+        case = self.config.cases[0]
+        runner = SalomeRunner()
+        cliArgs = [
+            "computemesh",
+            case["label"],
+            case["direction"],
+            case["theta"],
+            path
+        ]
+
+        out, err, returncode = runner.execute(
+            env["CLI"],
+            *cliArgs,
+            timeout = self.config["salome_timeout"],
+            root = env["ROOT"],
+            logpath = self.casePath()
+        )
+
+        return out, err, returncode
+
 
     def _computeMesh(self):
         """Function for Salome
@@ -24,6 +60,7 @@ class UltimateRunner(object):
         Resolution pipeline:
         cli(UR -> computeMesh) -> salomeRunner(salome -> cli) -> computemesh(UR -> _computeMesh)
         """
+        
         # TODO: add logger configuration here 
         sample = samples.__dict__[..]
 
@@ -48,3 +85,31 @@ class UltimateRunner(object):
         flow = sample.onephaseflow(..)
         flow.build()
 
+
+    def pipeline(self, stage: str = None):
+        stage = stage or config["stage"]
+
+        match stage:
+            case "mesh" | "all":
+                with self.database.atomic():
+                    Shape.create(self._exec_id, **self.config.cases[0])
+                    Mesh.create(self._exec_id)
+
+                self.computeMesh(..)
+
+            case "flow" | "all":
+                with self.database.atomic():
+                    Flow.create(self._exec_id)
+
+                self.computeFlow(..)
+
+            case "postProcess" | "all":
+                self.postProcess(..)
+
+
+    
+    def parallel(queue: list, nprocs = None):
+        nprocs = nprocs or config["nprocs"]
+
+        parallel(nprocs, [()] * len(queue), [ runner.pipeline for runner in queue ])
+