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author | Alexander Kabui | 2021-04-15 02:17:30 +0300 |
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committer | Alexander Kabui | 2021-04-15 02:17:30 +0300 |
commit | f3f68f8eb92c7ec9c42bc20bc8e94c435cc745e2 (patch) | |
tree | b9c8cef828e7dc1f19a85da3807ea0ad77bd690a /gn3/api | |
parent | ff80b5228e741c24d66d1d1c13702a34aac77a78 (diff) | |
download | genenetwork3-f3f68f8eb92c7ec9c42bc20bc8e94c435cc745e2.tar.gz |
optimization for sample correlation
Diffstat (limited to 'gn3/api')
-rw-r--r-- | gn3/api/correlation.py | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/gn3/api/correlation.py b/gn3/api/correlation.py index f28e1f5..7be8e30 100644 --- a/gn3/api/correlation.py +++ b/gn3/api/correlation.py @@ -16,6 +16,8 @@ correlation = Blueprint("correlation", __name__) def compute_sample_integration(corr_method="pearson"): """temporary api to help integrate genenetwork2 to genenetwork3 """ + # for debug + print("Calling this endpoint") correlation_input = request.get_json() target_samplelist = correlation_input.get("target_samplelist") @@ -23,7 +25,6 @@ def compute_sample_integration(corr_method="pearson"): this_trait_data = correlation_input.get("trait_data") results = map_shared_keys_to_values(target_samplelist, target_data_values) - correlation_results = compute_all_sample_correlation(corr_method=corr_method, this_trait=this_trait_data, target_dataset=results) @@ -75,6 +76,8 @@ def compute_lit_corr(species=None, gene_id=None): @correlation.route("/tissue_corr/<string:corr_method>", methods=["POST"]) def compute_tissue_corr(corr_method="pearson"): """Api endpoint fr doing tissue correlation""" + # for debug + print("The request has been received") tissue_input_data = request.get_json() primary_tissue_dict = tissue_input_data["primary_tissue"] target_tissues_dict = tissue_input_data["target_tissues_dict"] |