Remove data validation

Dockerfile

@@ -15,6 +15,9 @@ RUN pixi shell-hook -s bash > /shell-hook
 
 ENV PYTHONUNBUFFERED=1
 
+# below used to prevent qas-xas from writing a log file
+ENV TEST=true
+
 COPY default.py .
 
 RUN mkdir /etc/tiled

data_validation.py

@@ -1,7 +1,5 @@
-from prefect import task, flow, get_run_logger
-import time as ttime
+from prefect import task
 from tiled.client import from_uri
-from bluesky_tiled_plugins.writing.validator import validate
 from dotenv import load_dotenv
 import os
 
@@ -35,45 +33,8 @@ def get_run_migration(uid, api_key=None):  # TODO remove after migration is comp
 
 
 @task(retries=2, retry_delay_seconds=10)
-def get_run_processed(uid, api_key=None):
+def get_client_processed(api_key=None):
     if not api_key:
         api_key = get_api_key_from_env()
     cl = from_uri("https://tiled.nsls2.bnl.gov", api_key=api_key)
-    run = cl[f"{BEAMLINE_OR_ENDSTATION}/processed"][uid]
-    return run
-
-
-@task(retries=2, retry_delay_seconds=10)
-def read_stream(run, stream):
-    return run[stream].read()
-
-
-# currently configured to run only one of BTP validation or read all streams checks
-@flow
-def data_validation(uid, api_key=None, dry_run=False):
-    logger = get_run_logger()
-    run_client = get_run_migration(
-        uid, api_key=api_key
-    )  # replace with get_run() if no SQL database
-    logger.info(f"Validating uid {run_client.start['uid']}")
-    start_time = ttime.monotonic()
-    try:
-        # the following calls to validate() only work for SQL database-backed catalogs - remove if not available
-        if dry_run:
-            validate(
-                run_client, fix_errors=False, try_reading=True, raise_on_error=True
-            )
-        else:
-            validate(run_client, fix_errors=True, try_reading=True, raise_on_error=True)
-    except AttributeError:
-        # check by reading data if not SQL database-backed
-        run_client = get_run(uid, api_key=api_key)  # remove if no SQL database
-        for stream in run_client:
-            logger.info(f"{stream}:")
-            stream_start_time = ttime.monotonic()
-            stream_data = read_stream(run_client, stream)  # noqa: F841
-            stream_elapsed_time = ttime.monotonic() - stream_start_time
-            logger.info(f"{stream} elapsed_time = {stream_elapsed_time}")
-            logger.info(f"{stream} nbytes = {stream_data.nbytes:_}")
-    elapsed_time = ttime.monotonic() - start_time
-    logger.info(f"{elapsed_time = }")
+    return cl[f"{BEAMLINE_OR_ENDSTATION}/processed"]

end_of_run_workflow.py

@@ -5,7 +5,7 @@
 from prefect.context import FlowRunContext
 from prefect.settings import PREFECT_UI_URL
 
-from data_validation import data_validation, get_run, get_run_processed
+from data_validation import get_run, get_client_processed
 
 # QAS Application Specific
 from xas.process import process_interpolate_bin_with_tiled
@@ -82,10 +82,9 @@ def log_completion(dry_run=False):
 @slack
 def end_of_run_workflow(stop_doc, api_key=None, dry_run=False):
     uid = stop_doc["run_start"]
-    data_validation(uid, api_key=api_key, dry_run=dry_run)
     # Processing goes here
     run = get_run(uid, api_key=api_key)
-    run_processed = get_run_processed(uid, api_key=api_key)
-    process_interpolate_bin_with_tiled(run, run_processed)
+    client_processed = get_client_processed(api_key=api_key)
+    process_interpolate_bin_with_tiled(run, client_processed)
     log_completion(dry_run=dry_run)
     return True