about summary refs log tree commit diff
path: root/gn3/api/correlation.py
diff options
context:
space:
mode:
Diffstat (limited to 'gn3/api/correlation.py')
-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