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-rw-r--r--gn3/api/correlation.py31
1 files changed, 31 insertions, 0 deletions
diff --git a/gn3/api/correlation.py b/gn3/api/correlation.py
index 46121f8..1caf31f 100644
--- a/gn3/api/correlation.py
+++ b/gn3/api/correlation.py
@@ -1,13 +1,16 @@
"""Endpoints for running correlations"""
+import json
from flask import jsonify
from flask import Blueprint
from flask import request
+from flask import make_response
from gn3.computations.correlations import compute_all_sample_correlation
from gn3.computations.correlations import compute_all_lit_correlation
from gn3.computations.correlations import compute_tissue_correlation
from gn3.computations.correlations import map_shared_keys_to_values
from gn3.db_utils import database_connector
+from gn3.computations.partial_correlations import partial_correlations_entry
correlation = Blueprint("correlation", __name__)
@@ -83,3 +86,31 @@ def compute_tissue_corr(corr_method="pearson"):
corr_method=corr_method)
return jsonify(results)
+
+@correlation.route("/partial", methods=["POST"])
+def partial_correlation():
+ """API endpoint for partial correlations."""
+ def trait_fullname(trait):
+ return f"{trait['dataset']}::{trait['name']}"
+
+ class OutputEncoder(json.JSONEncoder):
+ """
+ Class to encode output into JSON, for objects which the default
+ json.JSONEncoder class does not have default encoding for.
+ """
+ def default(self, obj):
+ if isinstance(obj, bytes):
+ return str(obj, encoding="utf-8")
+ return json.JSONEncoder.default(self, obj)
+
+ args = request.get_json()
+ conn, _cursor_object = database_connector()
+ corr_results = partial_correlations_entry(
+ conn, trait_fullname(args["primary_trait"]),
+ tuple(trait_fullname(trait) for trait in args["control_traits"]),
+ args["method"], int(args["criteria"]), args["target_db"])
+ response = make_response(
+ json.dumps(corr_results, cls=OutputEncoder).replace(": NaN", ": null"),
+ 400 if "error" in corr_results.keys() else 200)
+ response.headers["Content-Type"] = "application/json"
+ return response