Prepare for End2End Test

config.yaml

@@ -1,4 +1,4 @@
-root: "/d0/punchsoc/gamera_data/"
+root: "/Users/jhughes/Desktop/d0/"
 input_drop: "dropzone/"
 tlm_directory: "dropzone/"
 file_version: "1"
@@ -17,15 +17,16 @@ scheduler:
   max_start: 10
 
 launcher:
-  max_flows_running: 5
+  schedule: "* * * * *"
+  max_flows_running: 25
 
 levels:
   level0_process_flow:
     priority:
       initial: 5
       seconds: [ 30, 120, 600 ]
       escalation: [ 10, 20, 30 ]
-    schedule:
+    schedule: "* * * * *"
     options:
       num_quads: 100
 
@@ -34,29 +35,29 @@ levels:
       initial: 6
       seconds: [ 30, 120, 600 ]
       escalation: [ 11, 21, 31 ]
-    schedule:
+    schedule: "* * * * *"
     options:
 
   level2_process_flow:
     priority:
       initial: 1000
       seconds: [ 3000, 12000, 60000 ]
       escalation: [ 1000, 1000, 1000 ]
-    schedule:
+    schedule: "* * * * *"
     options:
 
   levelq_process_flow:
     priority:
       initial: 1000
       seconds: [ 3000, 12000, 60000 ]
       escalation: [ 1000, 1000, 1000 ]
-    schedule:
+    schedule: "* * * * *"
     options:
 
   level3_PTM_process_flow:
     priority:
       initial: 10000
       seconds: [1]
       escalation: [10000]
-    schedule:
+    schedule: "* * * * *"
     options:

punchpipe/cli.py

@@ -1,22 +1,145 @@
+import os
+import time
 import subprocess
-import multiprocessing as mp
+from pathlib import Path
+from datetime import datetime
 
 import click
+from prefect import flow, serve
+from prefect.variables import Variable
 
-from .monitor.app import create_app
+from punchpipe.control.health import update_machine_health_stats
+from punchpipe.control.launcher import launcher_flow
+from punchpipe.control.util import load_pipeline_configuration
+from punchpipe.flows.level1 import level1_process_flow, level1_scheduler_flow
+from punchpipe.flows.level2 import level2_process_flow, level2_scheduler_flow
+from punchpipe.flows.level3 import level3_PTM_process_flow, level3_PTM_scheduler_flow
+from punchpipe.flows.levelq import levelq_process_flow, levelq_scheduler_flow
+from punchpipe.monitor.app import create_app
 
+THIS_DIR = os.path.dirname(__file__)
+app = create_app()
+server = app.server
 
 @click.group
 def main():
     """Run the PUNCH automated pipeline"""
 
-def launch_monitor():
-    app = create_app()
-    app.run_server(debug=False, port=8051)
+
+@flow
+def my_flow():
+    print("Hello, Prefect!")
+
+
+def serve_flows(configuration_path):
+    config = load_pipeline_configuration.fn(configuration_path)
+    launcher_deployment = launcher_flow.to_deployment(name="launcher-deployment",
+                                                      description="Launch a pipeline segment.",
+                                                      cron=config['launcher'].get("schedule", "* * * * *"),
+                                                      parameters={"pipeline_configuration_path": configuration_path}
+                                                      )
+
+    level1_scheduler_deployment = level1_scheduler_flow.to_deployment(name="level1-scheduler-deployment",
+                                                                      description="Schedule a Level 1 flow.",
+                                                                      cron="* * * * *",
+                                                                      parameters={"pipeline_config_path": configuration_path}
+                                                                      )
+    level1_process_deployment = level1_process_flow.to_deployment(name="level1_process_flow",
+                                                                  description="Process a file from Level 0 to Level 1.",
+                                                                  parameters={"pipeline_config_path": configuration_path}
+                                                                  )
+
+    level2_scheduler_deployment = level2_scheduler_flow.to_deployment(name="level2-scheduler-deployment",
+                                                                      description="Schedule a Level 2 flow.",
+                                                                      cron="* * * * *",
+                                                                      parameters={
+                                                                          "pipeline_config_path": configuration_path}
+
+                                                                      )
+    level2_process_deployment = level2_process_flow.to_deployment(name="level2_process_flow",
+                                                                  description="Process files from Level 1 to Level 2.",
+                                                                  parameters={"pipeline_config_path": configuration_path}
+                                                                  )
+
+    levelq_scheduler_deployment = levelq_scheduler_flow.to_deployment(name="levelq-scheduler-deployment",
+                                                                      description="Schedule a Level Q flow.",
+                                                                      cron="* * * * *",
+                                                                      parameters={
+                                                                          "pipeline_config_path": configuration_path}
+
+                                                                      )
+    levelq_process_deployment = levelq_process_flow.to_deployment(name="levelq_process_flow",
+                                                                  description="Process files from Level 1 to Level Q.",
+                                                                  parameters={"pipeline_config_path": configuration_path}
+                                                                  )
+
+    level3_PTM_scheduler_deployment = level3_PTM_scheduler_flow.to_deployment(name="level3-PTM-scheduler-deployment",
+                                                                              description="Schedule a Level 3 flow to make PTM.",
+                                                                              cron="* * * * *",
+                                                                              parameters={
+                                                                                  "pipeline_config_path": configuration_path}
+
+                                                                              )
+    level3_PTM_process_deployment = level3_PTM_process_flow.to_deployment(name="level3_PTM_process_flow",
+                                                                          description="Process PTM files from Level 2 to Level 3.",
+                                                                          parameters={
+                                                                              "pipeline_config_path": configuration_path}
+                                                                          )
+
+    health_deployment = update_machine_health_stats.to_deployment(name="update-health-stats-deployment",
+                                                                  description="Update the health stats table data.",
+                                                                  cron="* * * * *")
+
+    serve(launcher_deployment,
+          level1_scheduler_deployment, level1_process_deployment,
+          level2_scheduler_deployment, level2_process_deployment,
+          levelq_scheduler_deployment, levelq_process_deployment,
+          level3_PTM_scheduler_deployment, level3_PTM_process_deployment,
+          health_deployment,
+          limit=1000
+    )
+
 
 @main.command
-def run():
-    print("Launching punchpipe monitor on http://localhost:8051/.")
-    subprocess.Popen(["prefect", "server", "start"])
-    print("\npunchpipe Prefect flows must be stopped manually in Prefect.")
-    mp.Process(target=launch_monitor, args=()).start()
+@click.argument("configuration_path", type=click.Path(exists=True))
+def run(configuration_path):
+    now = datetime.now()
+
+    configuration_path = str(Path(configuration_path).resolve())
+    output_path = f"punchpipe_{now.strftime('%Y%m%d_%H%M%S')}.txt"
+
+    print()
+    print(f"Launching punchpipe at {now} with configuration: {configuration_path}")
+    print(f"Terminal logs from punchpipe are in {output_path}")
+
+
+    with open(output_path, "w") as f:
+        try:
+            prefect_process = subprocess.Popen(["prefect", "server", "start"],
+                                               stdout=f, stderr=subprocess.STDOUT)
+            time.sleep(10)
+            monitor_process = subprocess.Popen(["gunicorn",
+                                                "-b", "0.0.0.0:8050",
+                                                "--chdir", THIS_DIR,
+                                                "cli:server"],
+                                               stdout=f, stderr=subprocess.STDOUT)
+            Variable.set("punchpipe_config", configuration_path, overwrite=True)
+            print("Launched Prefect dashboard on http://localhost:4200/")
+            print("Launched punchpipe monitor on http://localhost:8050/")
+            print("Use ctrl-c to exit.")
+
+            serve_flows(configuration_path)
+            prefect_process.wait()
+            monitor_process.wait()
+        except KeyboardInterrupt:
+            print("Shutting down.")
+            prefect_process.terminate()
+            monitor_process.terminate()
+            print()
+            print("punchpipe safely shut down.")
+        except Exception as e:
+            print(f"Received error: {e}")
+            prefect_process.terminate()
+            monitor_process.terminate()
+            print()
+            print("punchpipe abruptly shut down.")

punchpipe/controlsegment/db.py → punchpipe/control/db.py

@@ -15,7 +15,7 @@ class File(Base):
     file_type = Column(String(2), nullable=False)
     observatory = Column(String(1), nullable=False)
     file_version = Column(String(16), nullable=False)
-    software_version = Column(String(20), nullable=False)
+    software_version = Column(String(35), nullable=False)
     date_created = Column(DateTime, nullable=True)
     date_obs = Column(DateTime, nullable=False)
     date_beg = Column(DateTime, nullable=True)

punchpipe/control/health.py

@@ -0,0 +1,31 @@
+from datetime import datetime
+
+import psutil
+from prefect import flow
+
+from punchpipe.control.db import Health
+from punchpipe.control.util import get_database_session, load_pipeline_configuration
+
+
+@flow
+def update_machine_health_stats():
+    config = load_pipeline_configuration()
+
+    now = datetime.now()
+    cpu_usage = psutil.cpu_percent(interval=5)
+    memory_usage = psutil.virtual_memory().used / 1E9  # store in GB
+    memory_percentage = psutil.virtual_memory().percent
+    disk_usage = psutil.disk_usage(config.get("root", "/")).used / 1E9  # store in GB
+    disk_percentage = psutil.disk_usage(config.get("root", "/")).percent
+    num_pids = len(psutil.pids())
+
+    with get_database_session() as session:
+        new_health_entry = Health(datetime=now,
+                                  cpu_usage=cpu_usage,
+                                  memory_usage=memory_usage,
+                                  memory_percentage=memory_percentage,
+                                  disk_usage=disk_usage,
+                                  disk_percentage=disk_percentage,
+                                  num_pids=num_pids)
+        session.add(new_health_entry)
+        session.commit()

punchpipe/controlsegment/launcher.py → punchpipe/control/launcher.py

@@ -3,11 +3,12 @@
 
 from prefect import flow, get_run_logger, task
 from prefect.client import get_client
+from prefect.variables import Variable
 from sqlalchemy import and_
 from sqlalchemy.orm import Session
 
-from punchpipe.controlsegment.db import Flow
-from punchpipe.controlsegment.util import get_database_session, load_pipeline_configuration
+from punchpipe.control.db import Flow
+from punchpipe.control.util import get_database_session, load_pipeline_configuration
 
 
 @task
@@ -87,7 +88,7 @@
 
 
 @flow
-async def launcher_flow(pipeline_configuration_path="config.yaml"):
+async def launcher_flow(pipeline_configuration_path=None):
     """The main launcher flow for Prefect, responsible for identifying flows, based on priority,
         that are ready to run and creating flow runs for them. It also escalates long-waiting flows' priorities.
 
@@ -99,6 +100,8 @@
     """
     logger = get_run_logger()
 
+    if pipeline_configuration_path is None:
+        pipeline_configuration_path = await Variable.get("punchpipe_config", "punchpipe_config.yaml")
     pipeline_config = load_pipeline_configuration(pipeline_configuration_path)
 
     logger.info("Establishing database connection")

punchpipe/controlsegment/processor.py → punchpipe/control/processor.py

@@ -4,8 +4,8 @@
 from prefect import get_run_logger
 from prefect.context import get_run_context
 
-from punchpipe.controlsegment.db import File, Flow
-from punchpipe.controlsegment.util import (
+from punchpipe.control.db import File, Flow
+from punchpipe.control.util import (
     get_database_session,
     load_pipeline_configuration,
     match_data_with_file_db_entry,

punchpipe/controlsegment/scheduler.py → punchpipe/control/scheduler.py

@@ -1,12 +1,13 @@
-from punchpipe.controlsegment.db import File, FileRelationship
-from punchpipe.controlsegment.util import get_database_session, load_pipeline_configuration, update_file_state
+
+from punchpipe.control.db import File, FileRelationship
+from punchpipe.control.util import get_database_session, load_pipeline_configuration, update_file_state
 
 
 def generic_scheduler_flow_logic(
     query_ready_files_func, construct_child_file_info, construct_child_flow_info, pipeline_config_path, session=None
 ):
-    # load pipeline configuration
     pipeline_config = load_pipeline_configuration(pipeline_config_path)
+
     max_start = pipeline_config['scheduler']['max_start']
 
     # get database connection

punchpipe/controlsegment/tests/__init__.py → punchpipe/control/tests/__init__.py

@@ -7,8 +7,8 @@
 from ndcube import NDCube
 from punchbowl.data import NormalizedMetadata
 
-from punchpipe.controlsegment.db import File
-from punchpipe.controlsegment.util import match_data_with_file_db_entry
+from punchpipe.control.db import File
+from punchpipe.control.util import match_data_with_file_db_entry
 
 
 @pytest.fixture()