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authorBonfaceKilz2021-02-24 10:40:15 +0300
committerBonfaceKilz2021-02-24 14:20:29 +0300
commit6c434c9dc30dc0b4e2b806b0792bf6d384490c14 (patch)
treeef5e162b29909dce9eb57d53a4287fa299be1499 /gn3/api
parent2125450ffaf93e9500dc6360ecce8d6c7e8e4036 (diff)
downloadgenenetwork3-6c434c9dc30dc0b4e2b806b0792bf6d384490c14.tar.gz
Update how gemma(extracted from gn2) is computed
Diffstat (limited to 'gn3/api')
-rw-r--r--gn3/api/gemma.py75
1 files changed, 35 insertions, 40 deletions
diff --git a/gn3/api/gemma.py b/gn3/api/gemma.py
index 95e71e2..e5fe499 100644
--- a/gn3/api/gemma.py
+++ b/gn3/api/gemma.py
@@ -7,10 +7,11 @@ from flask import current_app
from flask import jsonify
from flask import request
-from gn3.commands import compose_gemma_cmd
from gn3.commands import queue_cmd
from gn3.commands import run_cmd
-from gn3.file_utils import jsonfile_to_dict
+from gn3.computations.gemma import generate_hash_of_string
+from gn3.computations.gemma import generate_pheno_txt_file
+from gn3.computations.gemma import generate_gemma_computation_cmd
gemma = Blueprint("gemma", __name__)
@@ -33,47 +34,41 @@ file output is returned.
"""
data = request.get_json()
- if not data.get("token"):
- return jsonify(status=128, error="Please provide a token"), 400
app_defaults = current_app.config.get('APP_DEFAULTS')
- metadata = os.path.join(app_defaults.get("TMPDIR"),
- data.get("token"),
- data.get("metadata", "metadata.json"))
- if not os.path.isfile(metadata):
- return jsonify(status=128,
- error=f"{metadata}: file does not exist"), 500
- metadata = jsonfile_to_dict(metadata)
+ __hash = generate_hash_of_string("".join(data.get("values")))
gemma_kwargs = {
- "g": os.path.join(app_defaults.get("GENODIR"), "bimbam",
- metadata.get("genotype_file")),
- "p": os.path.join(app_defaults.get("GENODIR"), "bimbam",
- metadata.get("phenotype_file")),
- "a": os.path.join(app_defaults.get("GENODIR"), "bimbam",
- metadata.get("snp_file"))}
- generate_k_cmd = compose_gemma_cmd(
- gemma_wrapper_cmd=app_defaults.get("GEMMA_WRAPPER_CMD"),
+ "geno_filename": os.path.join(app_defaults.get("GENODIR"), "bimbam",
+ f"{data.get('genofile_name')}.txt"),
+ "trait_filename": generate_pheno_txt_file(
+ tmpdir=app_defaults.get("TMPDIR"),
+ values=data.get("values"),
+ # Generate this file on the fly!
+ trait_filename=(f"{data.get('dataset_groupname')}_"
+ f"{data.get('trait_name')}_"
+ f"{__hash}.txt"))}
+ k_computation_cmd = generate_gemma_computation_cmd(
+ gemma_cmd=app_defaults.get("GEMMA_WRAPPER_CMD"),
gemma_kwargs=gemma_kwargs,
- gemma_args=["-gk", ">",
- os.path.join(app_defaults.get("TMPDIR"), "gn2",
- f"k_output_{data.get('token')}.txt")])
- if metadata.get("covariates"):
+ output_file=(f"{app_defaults.get('TMPDIR')}/gn2/"
+ f"{data.get('dataset_name')}_K_"
+ f"{__hash}.json"))
+ if data.get("covariates"):
gemma_kwargs["c"] = os.path.join(app_defaults.get("GENODIR"),
"bimbam",
- metadata.get("covariates"))
- # Prevents command injection!
- for _, value in gemma_kwargs.items():
- if not os.path.isfile(value):
- return jsonify(status=128, error=f"{value}: Does not exist!"), 500
-
- gemma_kwargs["lmm"] = 9
- gwa_cmd = compose_gemma_cmd(
- gemma_wrapper_cmd=app_defaults.get("GEMMA_WRAPPER_CMD"),
+ data.get("covariates"))
+ gemma_kwargs["lmm"] = data.get("lmm", 9)
+ gwa_cmd = generate_gemma_computation_cmd(
+ gemma_cmd=app_defaults.get("GEMMA_WRAPPER_CMD"),
gemma_kwargs=gemma_kwargs,
- gemma_args=[">",
- os.path.join(app_defaults.get("TMPDIR"),
- "gn2",
- f"gemma_output_{data.get('token')}.txt")])
- unique_id = queue_cmd(conn=redis.Redis(), email=metadata.get("email"),
- cmd=f"{generate_k_cmd} && {gwa_cmd}")
- return jsonify(unique_id=unique_id, status="queued",
- output_file=f"gemma_output_{data.get('token')}.txt")
+ output_file=(f"{data.get('dataset_name')}_GWA_"
+ f"{__hash}.txt"))
+ if not all([k_computation_cmd, gwa_cmd]):
+ return jsonify(status=128,
+ error="Unable to generate cmds for computation!"), 500
+ return jsonify(
+ unique_id=queue_cmd(conn=redis.Redis(),
+ email=data.get("email"),
+ cmd=f"{k_computation_cmd} && {gwa_cmd}"),
+ status="queued",
+ output_file=(f"{data.get('dataset_name')}_GWA_"
+ f"{__hash}.txt"))