added python handler, and reworked handler and conductor event/job discovery to be more modular

This commit is contained in:
PatchOfScotland
2023-02-01 17:43:16 +01:00
parent 5acb8c230e
commit 636d70f4e8
17 changed files with 537 additions and 259 deletions

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recipes/python_recipe.py Normal file
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"""
This file contains definitions for a MEOW recipe based off of python code,
along with an appropriate handler for said events.
Author(s): David Marchant
"""
import os
import itertools
import nbformat
import sys
from typing import Any
from core.correctness.validation import check_type, valid_string, \
valid_dict, valid_event, valid_existing_dir_path, setup_debugging
from core.correctness.vars import VALID_VARIABLE_NAME_CHARS, PYTHON_FUNC, \
DEBUG_INFO, EVENT_TYPE_WATCHDOG, JOB_HASH, PYTHON_EXECUTION_BASE, \
EVENT_RULE, EVENT_PATH, JOB_TYPE_PYTHON, WATCHDOG_HASH, JOB_PARAMETERS, \
PYTHON_OUTPUT_DIR, JOB_ID, WATCHDOG_BASE, META_FILE, BASE_FILE, \
PARAMS_FILE, JOB_STATUS, STATUS_QUEUED, EVENT_TYPE, EVENT_RULE
from core.functionality import print_debug, create_job, replace_keywords, \
make_dir, write_yaml, write_notebook
from core.meow import BaseRecipe, BaseHandler
from patterns.file_event_pattern import SWEEP_START, SWEEP_STOP, SWEEP_JUMP
class PythonRecipe(BaseRecipe):
def __init__(self, name:str, recipe:Any, parameters:dict[str,Any]={},
requirements:dict[str,Any]={}):
"""PythonRecipe Constructor. This is used to execute python analysis
code."""
super().__init__(name, recipe, parameters, requirements)
def _is_valid_recipe(self, recipe:dict[str,Any])->None:
"""Validation check for 'recipe' variable from main constructor.
Called within parent BaseRecipe constructor."""
check_type(recipe, dict)
nbformat.validate(recipe)
def _is_valid_parameters(self, parameters:dict[str,Any])->None:
"""Validation check for 'parameters' variable from main constructor.
Called within parent BaseRecipe constructor."""
valid_dict(parameters, str, Any, strict=False, min_length=0)
for k in parameters.keys():
valid_string(k, VALID_VARIABLE_NAME_CHARS)
def _is_valid_requirements(self, requirements:dict[str,Any])->None:
"""Validation check for 'requirements' variable from main constructor.
Called within parent BaseRecipe constructor."""
valid_dict(requirements, str, Any, strict=False, min_length=0)
for k in requirements.keys():
valid_string(k, VALID_VARIABLE_NAME_CHARS)
class PythonHandler(BaseHandler):
# TODO move me to base handler
# handler directory to setup jobs in
handler_base:str
# TODO move me to conductor?
# Final location for job output to be placed
output_dir:str
# Config option, above which debug messages are ignored
debug_level:int
# Where print messages are sent
_print_target:Any
def __init__(self, handler_base:str, output_dir:str, print:Any=sys.stdout,
logging:int=0)->None:
"""PythonHandler Constructor. This creates jobs to be executed as
python functions. This does not run as a continuous thread to
handle execution, but is invoked according to a factory pattern using
the handle function."""
super().__init__()
self._is_valid_handler_base(handler_base)
self.handler_base = handler_base
self._is_valid_output_dir(output_dir)
self.output_dir = output_dir
self._print_target, self.debug_level = setup_debugging(print, logging)
print_debug(self._print_target, self.debug_level,
"Created new PythonHandler instance", DEBUG_INFO)
def handle(self, event:dict[str,Any])->None:
"""Function called to handle a given event."""
print_debug(self._print_target, self.debug_level,
f"Handling event {event[EVENT_PATH]}", DEBUG_INFO)
rule = event[EVENT_RULE]
# Assemble job parameters dict from pattern variables
yaml_dict = {}
for var, val in rule.pattern.parameters.items():
yaml_dict[var] = val
for var, val in rule.pattern.outputs.items():
yaml_dict[var] = val
yaml_dict[rule.pattern.triggering_file] = event[EVENT_PATH]
# If no parameter sweeps, then one job will suffice
if not rule.pattern.sweep:
self.setup_job(event, yaml_dict)
else:
# If parameter sweeps, then many jobs created
values_dict = {}
for var, val in rule.pattern.sweep.items():
values_dict[var] = []
par_val = val[SWEEP_START]
while par_val <= val[SWEEP_STOP]:
values_dict[var].append((var, par_val))
par_val += val[SWEEP_JUMP]
# combine all combinations of sweep values
values_list = list(itertools.product(
*[v for v in values_dict.values()]))
for values in values_list:
for value in values:
yaml_dict[value[0]] = value[1]
self.setup_job(event, yaml_dict)
def valid_handle_criteria(self, event:dict[str,Any])->bool:
"""Function to determine given an event defintion, if this handler can
process it or not. This handler accepts events from watchdog with
Python recipes"""
try:
valid_event(event)
if event[EVENT_TYPE] == EVENT_TYPE_WATCHDOG \
and type(event[EVENT_RULE].recipe) == PythonRecipe:
return True
except:
pass
return False
def _is_valid_handler_base(self, handler_base)->None:
"""Validation check for 'handler_base' variable from main
constructor."""
valid_existing_dir_path(handler_base)
def _is_valid_output_dir(self, output_dir)->None:
"""Validation check for 'output_dir' variable from main
constructor."""
valid_existing_dir_path(output_dir, allow_base=True)
def setup_job(self, event:dict[str,Any], yaml_dict:dict[str,Any])->None:
"""Function to set up new job dict and send it to the runner to be
executed."""
meow_job = create_job(
JOB_TYPE_PYTHON,
event,
{
JOB_PARAMETERS:yaml_dict,
JOB_HASH: event[WATCHDOG_HASH],
PYTHON_FUNC:job_func,
PYTHON_OUTPUT_DIR:self.output_dir,
PYTHON_EXECUTION_BASE:self.handler_base
}
)
print_debug(self._print_target, self.debug_level,
f"Creating job from event at {event[EVENT_PATH]} of type "
f"{JOB_TYPE_PYTHON}.", DEBUG_INFO)
# replace MEOW keyworks within variables dict
yaml_dict = replace_keywords(
meow_job[JOB_PARAMETERS],
meow_job[JOB_ID],
event[EVENT_PATH],
event[WATCHDOG_BASE]
)
# Create a base job directory
job_dir = os.path.join(
meow_job[PYTHON_EXECUTION_BASE], meow_job[JOB_ID])
make_dir(job_dir)
# write a status file to the job directory
meta_file = os.path.join(job_dir, META_FILE)
write_yaml(meow_job, meta_file)
# write an executable notebook to the job directory
base_file = os.path.join(job_dir, BASE_FILE)
write_notebook(event[EVENT_RULE].recipe.recipe, base_file)
# write a parameter file to the job directory
param_file = os.path.join(job_dir, PARAMS_FILE)
write_yaml(yaml_dict, param_file)
meow_job[JOB_STATUS] = STATUS_QUEUED
# update the status file with queued status
write_yaml(meow_job, meta_file)
# Send job directory, as actual definitons will be read from within it
self.to_runner.send(job_dir)
# Papermill job execution code, to be run within the conductor
def job_func(job):
# Requires own imports as will be run in its own execution environment
import os
import papermill
from datetime import datetime
from core.functionality import write_yaml, read_yaml, write_notebook, \
get_file_hash, parameterize_jupyter_notebook
from core.correctness.vars import JOB_EVENT, EVENT_RULE, JOB_ID, \
EVENT_PATH, META_FILE, PARAMS_FILE, JOB_FILE, RESULT_FILE, \
JOB_STATUS, JOB_HASH, SHA256, STATUS_SKIPPED, JOB_END_TIME, \
JOB_ERROR, STATUS_FAILED, PYTHON_EXECUTION_BASE
event = job[JOB_EVENT]
# Identify job files
job_dir = os.path.join(job[PYTHON_EXECUTION_BASE], job[JOB_ID])
meta_file = os.path.join(job_dir, META_FILE)
job_file = os.path.join(job_dir, JOB_FILE)
result_file = os.path.join(job_dir, RESULT_FILE)
param_file = os.path.join(job_dir, PARAMS_FILE)
yaml_dict = read_yaml(param_file)
# Check the hash of the triggering file, if present. This addresses
# potential race condition as file could have been modified since
# triggering event
if JOB_HASH in job:
# get current hash
triggerfile_hash = get_file_hash(job[JOB_EVENT][EVENT_PATH], SHA256)
# If hash doesn't match, then abort the job. If its been modified, then
# another job will have been scheduled anyway.
if not triggerfile_hash \
or triggerfile_hash != job[JOB_HASH]:
job[JOB_STATUS] = STATUS_SKIPPED
job[JOB_END_TIME] = datetime.now()
msg = "Job was skipped as triggering file " + \
f"'{job[JOB_EVENT][EVENT_PATH]}' has been modified since " + \
"scheduling. Was expected to have hash " + \
f"'{job[JOB_HASH]}' but has '{triggerfile_hash}'."
job[JOB_ERROR] = msg
write_yaml(job, meta_file)
return
# Create a parameterised version of the executable notebook
try:
job_notebook = parameterize_jupyter_notebook(
event[EVENT_RULE].recipe.recipe, yaml_dict
)
write_notebook(job_notebook, job_file)
except Exception as e:
job[JOB_STATUS] = STATUS_FAILED
job[JOB_END_TIME] = datetime.now()
msg = f"Job file {job[JOB_ID]} was not created successfully. {e}"
job[JOB_ERROR] = msg
write_yaml(job, meta_file)
return
# Execute the parameterised notebook
try:
papermill.execute_notebook(job_file, result_file, {})
except Exception as e:
job[JOB_STATUS] = STATUS_FAILED
job[JOB_END_TIME] = datetime.now()
msg = f"Result file {result_file} was not created successfully. {e}"
job[JOB_ERROR] = msg
write_yaml(job, meta_file)
return