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author | Frederick Muriuki Muriithi | 2021-09-16 13:06:04 +0300 |
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committer | Frederick Muriuki Muriithi | 2021-09-16 13:06:04 +0300 |
commit | 056171a0a2f127e90ab803b74635495fb0c079a2 (patch) | |
tree | b14c46a89f26bc695427c1eef561757fb9d9b4dc /gn3/api | |
parent | 2cc9f382e199dbdbaab98c7e06deabd72e244adb (diff) | |
download | genenetwork3-056171a0a2f127e90ab803b74635495fb0c079a2.tar.gz |
Intergrate the heatmap generation with the API
Issue: https://github.com/genenetwork/gn-gemtext-threads/blob/main/topics/gn1-migration-to-gn2/clustering.gmi * Intergrate the heatmap generation code on the /api/heatmaps/clustered endpoint. The endpoint should take a json query of the form: {"traits_names": [ ... ] } where the "traits_name" value is a list of the full names of traits. A sample query to the endpoint could be something like the following: curl -i -X POST "http://localhost:8080/api/heatmaps/clustered" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -d '{ "traits_names": [ "UCLA_BXDBXH_CARTILAGE_V2::ILM103710672", "UCLA_BXDBXH_CARTILAGE_V2::ILM2260338", "UCLA_BXDBXH_CARTILAGE_V2::ILM3140576", "UCLA_BXDBXH_CARTILAGE_V2::ILM5670577", "UCLA_BXDBXH_CARTILAGE_V2::ILM2070121", "UCLA_BXDBXH_CARTILAGE_V2::ILM103990541", "UCLA_BXDBXH_CARTILAGE_V2::ILM1190722", "UCLA_BXDBXH_CARTILAGE_V2::ILM6590722", "UCLA_BXDBXH_CARTILAGE_V2::ILM4200064", "UCLA_BXDBXH_CARTILAGE_V2::ILM3140463" ] }' which should respond with a json response containing the raw binary string for the png format and possibly another for the svg format.
Diffstat (limited to 'gn3/api')
-rw-r--r-- | gn3/api/heatmaps.py | 28 |
1 files changed, 28 insertions, 0 deletions
diff --git a/gn3/api/heatmaps.py b/gn3/api/heatmaps.py new file mode 100644 index 0000000..cac9c71 --- /dev/null +++ b/gn3/api/heatmaps.py @@ -0,0 +1,28 @@ +from flask import jsonify +from flask import request +from flask import Blueprint +from gn3.heatmaps import build_heatmap +from gn3.db_utils import database_connector + +heatmaps = Blueprint("heatmaps", __name__) + +@heatmaps.route("/clustered", methods=("POST",)) +def clustered_heatmaps(): + heatmap_request = request.get_json() + traits_names = heatmap_request.get("traits_names", tuple()) + if len(traits_names) < 1: + return jsonify({ + "message": "You need to provide at least one trait name." + }), 400 + conn, _cursor = database_connector() + _heatmap_file, heatmap_fig = build_heatmap(traits_names, conn) + + # stream the heatmap data somehow here. + # Can plotly actually stream the figure data in a way that can be used on + # remote end to display the image without necessarily being html? + return jsonify( + { + "query": heatmap_request, + "output_png": heatmap_fig.to_image(format="png"), + "output_svg": heatmap_fig.to_image(format="svg") + }), 200 |