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authorFrederick Muriuki Muriithi2022-05-24 14:19:57 +0300
committerFrederick Muriuki Muriithi2022-05-24 14:19:57 +0300
commitfdf9061981ce5d341d178951adeb19dd0376ee66 (patch)
tree0476c726f6ccd8af97423aa520566ddf9864e0d1 /gn3/commands.py
parentbbc4b165761b359115fd1a249ea22e64d55db384 (diff)
downloadgenenetwork3-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.py36
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