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-rw-r--r--gn3/api/correlation.py44
-rw-r--r--gn3/computations/partial_correlations.py20
2 files changed, 44 insertions, 20 deletions
diff --git a/gn3/api/correlation.py b/gn3/api/correlation.py
index 7eb7cd6..aeb7f8c 100644
--- a/gn3/api/correlation.py
+++ b/gn3/api/correlation.py
@@ -16,6 +16,8 @@ from gn3.computations.correlations import map_shared_keys_to_values
from gn3.computations.correlations import compute_tissue_correlation
from gn3.computations.correlations import compute_all_lit_correlation
from gn3.computations.correlations import compute_all_sample_correlation
+from gn3.computations.partial_correlations import (
+ partial_correlations_with_target_traits)
correlation = Blueprint("correlation", __name__)
@@ -111,22 +113,42 @@ def partial_correlation():
return reduce(__field_errors__(request_data), fields, errors)
args = request.get_json()
- request_errors = __errors__(
- args, ("primary_trait", "control_traits", "target_db", "method"))
+ with_target_db = args.get("with_target_db", True)
+ request_errors = None
+ if with_target_db:
+ request_errors = __errors__(
+ args, ("primary_trait", "control_traits", "target_db", "method"))
+ else:
+ request_errors = __errors__(
+ args, ("primary_trait", "control_traits", "target_traits", "method"))
if request_errors:
return build_response({
"status": "error",
"messages": request_errors,
"error_type": "Client Error"})
- return build_response({
- "status": "success",
- "results": queue_cmd(
- conn=redis.Redis(),
- cmd=compose_pcorrs_command(
+
+ if with_target_db:
+ return build_response({
+ "status": "queued",
+ "results": queue_cmd(
+ conn=redis.Redis(),
+ cmd=compose_pcorrs_command(
+ trait_fullname(args["primary_trait"]),
+ tuple(
+ trait_fullname(trait) for trait in args["control_traits"]),
+ args["method"], args["target_db"],
+ int(args.get("criteria", 500))),
+ job_queue=current_app.config.get("REDIS_JOB_QUEUE"),
+ env = {"PYTHONPATH": ":".join(sys.path), "SQL_URI": SQL_URI})})
+ else:
+ with database_connector() as conn:
+ results = partial_correlations_with_target_traits(
+ conn,
trait_fullname(args["primary_trait"]),
tuple(
trait_fullname(trait) for trait in args["control_traits"]),
- args["method"], args["target_db"],
- int(args.get("criteria", 500))),
- job_queue=current_app.config.get("REDIS_JOB_QUEUE"),
- env = {"PYTHONPATH": ":".join(sys.path), "SQL_URI": SQL_URI})})
+ tuple(
+ trait_fullname(trait) for trait in args["target_traits"]),
+ args["method"])
+
+ return build_response({"status": "success", "results": results})
diff --git a/gn3/computations/partial_correlations.py b/gn3/computations/partial_correlations.py
index 0041684..07c73db 100644
--- a/gn3/computations/partial_correlations.py
+++ b/gn3/computations/partial_correlations.py
@@ -555,9 +555,9 @@ def trait_for_output(trait):
}
return {key: val for key, val in trait.items() if val is not None}
-def check_for_common_errors(conn, primary_trait_name, control_trait_names):
+def check_for_common_errors(
+ conn, primary_trait_name, control_trait_names, threshold):
"""Check for common errors"""
- threshold = 0
corr_min_informative = 4
non_error_result = {"status": "success"}
@@ -671,8 +671,10 @@ def partial_correlations_with_target_db(# pylint: disable=[R0913, R0914, R0911]
functionality into smaller functions that do fewer things.
"""
+ threshold = 0
+
check_res = check_for_common_errors(
- conn, primary_trait_name, control_trait_names)
+ conn, primary_trait_name, control_trait_names, threshold)
if check_res.get("status") == "error":
return error_check_results
@@ -680,7 +682,7 @@ def partial_correlations_with_target_db(# pylint: disable=[R0913, R0914, R0911]
input_trait_geneid = primary_trait.get("geneid", 0)
input_trait_symbol = primary_trait.get("symbol", "")
input_trait_mouse_geneid = translate_to_mouse_gene_id(
- species, input_trait_geneid, conn)
+ check_res["species"], input_trait_geneid, conn)
tissue_probeset_freeze_id = 1
db_type = primary_trait["db"]["dataset_type"]
@@ -744,8 +746,8 @@ def partial_correlations_with_target_db(# pylint: disable=[R0913, R0914, R0911]
database_filename = get_filename(conn, target_db_name, TEXTDIR)
_total_traits, all_correlations = partial_corrs(
conn, check_res["common_primary_control_samples"],
- check_res["fixed_primary_values"], check_res["fixed_control_vals"],
- len(check_res["fixed_primary_vals"]), check_res["species"],
+ check_res["fixed_primary_values"], check_res["fixed_control_values"],
+ len(check_res["fixed_primary_values"]), check_res["species"],
input_trait_geneid, input_trait_symbol, tissue_probeset_freeze_id,
method, {**target_dataset, "dataset_type": target_dataset["type"]},
database_filename)
@@ -764,7 +766,7 @@ def partial_correlations_with_target_db(# pylint: disable=[R0913, R0914, R0911]
return __by_partial_corr_p_value__
add_lit_corr_and_tiss_corr = compose(
- partial(literature_correlation_by_list, conn, species),
+ partial(literature_correlation_by_list, conn, check_res["species"]),
partial(
tissue_correlation_by_list, conn, input_trait_symbol,
tissue_probeset_freeze_id, method))
@@ -801,7 +803,7 @@ def partial_correlations_with_target_db(# pylint: disable=[R0913, R0914, R0911]
"results": {
"primary_trait": trait_for_output(primary_trait),
"control_traits": tuple(
- trait_for_output(trait) for trait in cntrl_traits),
+ trait_for_output(trait) for trait in check_res["control_traits"]),
"correlations": tuple(
trait_for_output(trait) for trait in trait_list),
"dataset_type": target_dataset["type"],
@@ -818,7 +820,7 @@ def partial_correlations_with_target_traits(
"""
threshold = 0
check_res = check_for_common_errors(
- conn, primary_trait_name, control_trait_names)
+ conn, primary_trait_name, control_trait_names, threshold)
if check_res.get("status") == "error":
return error_check_results