diff options
author | Frederick Muriuki Muriithi | 2022-05-24 14:19:57 +0300 |
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committer | Frederick Muriuki Muriithi | 2022-05-24 14:19:57 +0300 |
commit | fdf9061981ce5d341d178951adeb19dd0376ee66 (patch) | |
tree | 0476c726f6ccd8af97423aa520566ddf9864e0d1 /gn3/commands.py | |
parent | bbc4b165761b359115fd1a249ea22e64d55db384 (diff) | |
download | genenetwork3-fdf9061981ce5d341d178951adeb19dd0376ee66.tar.gz |
Run partial correlations with external script
Use new external script to run the partial correlations for both cases,
i.e.
- against an entire dataset, or
- against selected traits
Diffstat (limited to 'gn3/commands.py')
-rw-r--r-- | gn3/commands.py | 36 |
1 files changed, 28 insertions, 8 deletions
diff --git a/gn3/commands.py b/gn3/commands.py index 9684eeb..b1b3fc7 100644 --- a/gn3/commands.py +++ b/gn3/commands.py @@ -1,6 +1,5 @@ """Procedures used to work with the various bio-informatics cli commands""" -import os import sys import json import subprocess @@ -51,15 +50,36 @@ def compose_rqtl_cmd(rqtl_wrapper_cmd: str, return cmd +def compose_pcorrs_command_for_selected_traits( + prefix_cmd: Tuple[str, ...], target_traits: Tuple[str, ...]) -> Tuple[ + str, ...]: + """Build command for partial correlations against selected traits.""" + return prefix_cmd + ("against-traits", ",".join(target_traits)) + +def compose_pcorrs_command_for_database( + prefix_cmd: Tuple[str, ...], target_database: str, + criteria: int = 500) -> Tuple[str, ...]: + """Build command for partial correlations against an entire dataset.""" + return prefix_cmd + ( + "against-db", f"{target_database}", f"--criteria={criteria}") + def compose_pcorrs_command( primary_trait: str, control_traits: Tuple[str, ...], method: str, - target_database: str, criteria: int = 500): + **kwargs): """Compose the command to run partias correlations""" - rundir = os.path.abspath(".") - return ( - f"{sys.executable}", f"{rundir}/scripts/partial_correlations.py", - primary_trait, ",".join(control_traits), f'"{method}"', - f"{target_database}", f"--criteria={criteria}") + print(f"KWARGS: {kwargs}") + prefix_cmd = ( + f"{sys.executable}", "-m", "scripts.partial_correlations", + primary_trait, ",".join(control_traits), f'"{method}"') + if ( + kwargs.get("target_database") is not None + and kwargs.get("target_traits") is None): + return compose_pcorrs_command_for_database(prefix_cmd, **kwargs) + if ( + kwargs.get("target_database") is None + and kwargs.get("target_traits") is not None): + return compose_pcorrs_command_for_selected_traits(prefix_cmd, **kwargs) + raise Exception("Invalid state: I don't know what command to generate!") def queue_cmd(conn: Redis, job_queue: str, @@ -111,5 +131,5 @@ def run_async_cmd( """A utility function to call `gn3.commands.queue_cmd` function and run the worker in the `one-shot` mode.""" cmd_id = queue_cmd(conn, job_queue, cmd, email, env) - subprocess.Popen(["python3", "sheepdog/worker.py"]) # pylint: disable=[consider-using-with] + subprocess.Popen([f"{sys.executable}", "-m", "sheepdog.worker"]) # pylint: disable=[consider-using-with] return cmd_id |