added pipeline controller

chrisClient.py

@@ -7,6 +7,7 @@
 import time
 from loguru import logger
 import sys
+from pipeline import Pipeline
 
 LOG = logger.debug
 
@@ -39,6 +40,35 @@ def pacs_push(self):
         pass
 
     def anonymize(self, dicom_dir: str, tag_struct: str, send_params: dict, pv_id: int):
+        dsdir_inst_id = self.pl_run_dicomdir(dicom_dir,tag_struct,pv_id)
+        plugin_params = {
+            'dicom-anonymization': {
+                "tagStruct": tag_struct,
+                'fileFilter': '.dcm'
+            },
+            'push-to-orthanc': {
+                'inputFileFilter': "**/*dcm",
+                "orthancUrl": send_params["url"],
+                "username": send_params["username"],
+                "password": send_params["password"],
+                "pushToRemote": send_params["aec"]
+            }
+        }
+        pipe = Pipeline(self.cl)
+        pipe.workflow_schedule(dsdir_inst_id, "DICOM anonymization and Orthanc push 20241217",
+                               plugin_params)
+
+    def pl_run_dicomdir(self, dicom_dir: str, tag_struct: str, pv_id: int) -> int:
+        pl_id = self.__get_plugin_id({"name": "pl-dsdircopy", "version": "1.0.2"})
+        # 1) Run dircopy
+        # empty directory check
+        if len(dicom_dir) == 0:
+            LOG(f"No directory found in CUBE containing files for search : {tag_struct}")
+            return
+        pv_in_id = self.__create_feed(pl_id, {"previous_id": pv_id, 'dir': dicom_dir})
+        return int(pv_in_id)
+
+    def anonymize_(self, dicom_dir: str, tag_struct: str, send_params: dict, pv_id: int):
 
         pl_id = self.__get_plugin_id({"name": "pl-dsdircopy", "version": "1.0.2"})
         pl_sub_id = self.__get_plugin_id({"name": "pl-pfdicom_tagsub", "version": "3.3.4"})

pipeline.py

@@ -0,0 +1,105 @@
+import json
+class Pipeline:
+    def __init__(self, client):
+        self.cl = client
+
+    def pluginParameters_setInNodes(self,
+                                    d_piping: dict,
+                                    d_pluginParameters: dict
+                                    ) -> dict:
+        """
+        Override default parameters in the `d_piping`
+
+        Args:
+            d_piping (dict):            the current default parameters for the
+                                        plugins in a pipeline
+            d_pluginParameters (dict):  a list of plugins and parameters to
+                                        set in the response
+
+        Returns:
+            dict:   a new piping structure with changes to some parameter values
+                    if required. If no d_pluginParameters is passed, simply
+                    return the piping unchanged.
+
+        """
+        for pluginTitle, d_parameters in d_pluginParameters.items():
+            for piping in d_piping:
+                if pluginTitle in piping.get('title'):
+                    for k, v in d_parameters.items():
+                        for d_default in piping.get('plugin_parameter_defaults'):
+                            if k in d_default.get('name'):
+                                d_default['default'] = v
+        return d_piping
+
+    def pipelineWithName_getNodes(
+            self,
+            str_pipelineName: str,
+            d_pluginParameters: dict = {}
+    ) -> dict:
+        """
+        Find a pipeline that contains the passed name <str_pipelineName>
+        and if found, return a nodes dictionary. Optionally set relevant
+        plugin parameters to values described in <d_pluginParameters>
+
+
+        Args:
+            str_pipelineName (str):         the name of the pipeline to find
+            d_pluginParameters (dict):      a set of optional plugin parameter
+                                            overrides
+
+        Returns:
+            dict: node dictionary (name, compute env, default parameters)
+                  and id of the pipeline
+        """
+        # pudb.set_trace()
+        id_pipeline: int = -1
+        ld_node: list = []
+        d_pipeline: dict = self.cl.get_pipelines({'name': str_pipelineName})
+        if 'data' in d_pipeline:
+            id_pipeline: int = d_pipeline['data'][0]['id']
+            d_response: dict = self.cl.get_pipeline_default_parameters(
+                id_pipeline, {'limit': 1000}
+            )
+            if 'data' in d_response:
+                ld_node = self.pluginParameters_setInNodes(
+                    self.cl.compute_workflow_nodes_info(d_response['data'], True),
+                    d_pluginParameters)
+                for piping in ld_node:
+                    if piping.get('compute_resource_name'):
+                        del piping['compute_resource_name']
+        return {
+            'nodes': ld_node,
+            'id': id_pipeline
+        }
+
+    def workflow_schedule(self,
+                          inputDataNodeID: str,
+                          str_pipelineName: str,
+                          d_pluginParameters: dict = {}
+                          ) -> dict:
+        """
+        Schedule a workflow that has name <str_pipelineName> off a given node id
+        of <inputDataNodeID>.
+
+        Args:
+            inputDataNodeID (str):      id of parent node
+            str_pipelineName (str):     substring of workflow name to connect
+            d_pluginParameters (dict):  optional structure of default parameter
+                                        overrides
+
+        Returns:
+            dict: result from calling the client `get_workflow_plugin_instances`
+        """
+        d_pipeline: dict = self.pipelineWithName_getNodes(
+            str_pipelineName, d_pluginParameters
+        )
+        d_workflow: dict = self.cl.create_workflow(
+            d_pipeline['id'],
+            {
+                'previous_plugin_inst_id': inputDataNodeID,
+                'nodes_info': json.dumps(d_pipeline['nodes'])
+            })
+        d_workflowInst: dict = self.cl.get_workflow_plugin_instances(
+            d_workflow['id'], {'limit': 1000}
+        )
+        return d_workflowInst

setup.py

@@ -25,7 +25,7 @@ def get_version(rel_path: str) -> str:
     author='FNNDSC',
     author_email='[email protected]',
     url='https://github.com/FNNDSC/pl-reg_',
-    py_modules=['reg_chxr','chris_pacs_service','base_client','chrisClient'],
+    py_modules=['reg_chxr','chris_pacs_service','base_client','chrisClient','pipeline'],
     install_requires=['chris_plugin'],
     license='MIT',
     entry_points={