Implement UI for dataset selection

As part of updating the database with the new data, there is a need to
select the appropriate dataset that the data belongs to, and this
commit provides the UI to assist the user do that.

1 files changed, 63 insertions, 0 deletions

diff --git a/qc_app/dbinsert.py b/qc_app/dbinsert.py
new file mode 100644
index 0000000..0733e5f
--- /dev/null
+++ b/qc_app/dbinsert.py
@@ -0,0 +1,63 @@
+"Handle inserting data into the database"
+import os
+import json
+from functools import reduce
+
+import requests
+from redis import Redis
+from flask import request, Blueprint, render_template, current_app as app
+
+from . import jobs
+
+dbinsertbp = Blueprint("dbinsert", __name__)
+
+def render_error(error_msg):
+    "Render the generic error page"
+    return render_template("dbupdate_error.html", error_message=error_msg), 400
+
+def make_menu_items_grouper(grouping_fn=lambda item: item):
+    "Build function to be used to group menu items."
+    def __grouper__(acc, row):
+        grouping = grouping_fn(row[2])
+        row_values = (row[0].strip(), row[1].strip())
+        if acc.get(grouping) is None:
+            return {**acc, grouping: (row_values,)}
+        return {**acc, grouping: (acc[grouping] + (row_values,))}
+    return __grouper__
+
+@dbinsertbp.route("/select-dataset", methods=["POST"])
+def select_dataset():
+    "Select the dataset to add the file contents against"
+    job_id = request.form["job_id"]
+    with Redis.from_url(app.config["REDIS_URL"], decode_responses=True) as rconn:
+        job = jobs.job(rconn, job_id)
+        if job:
+            filename = job["filename"]
+            filepath = f"{app.config['UPLOAD_FOLDER']}/{filename}"
+            if os.path.exists(filepath):
+                req = requests.get(
+                    "https://genenetwork.org/api3/api/menu/generate/json")
+                menu_contents = req.json()
+                default_species = "mouse"
+                mouse_groups = reduce(
+                    make_menu_items_grouper(
+                        lambda item: item.strip()[7:].strip()),
+                    menu_contents["groups"][default_species], {})
+                default_group = "BXD"
+                group_types = reduce(
+                    make_menu_items_grouper(),
+                    menu_contents["types"][default_species][default_group], {})
+                default_type = group_types[tuple(group_types)[0]][0][0]
+                datasets = menu_contents[
+                    "datasets"][default_species][default_group][
+                        default_type]
+
+                return render_template(
+                    "select_dataset.html", job_id=job_id, job_name=filename,
+                    species=menu_contents["species"],
+                    default_species=default_species, groups=mouse_groups,
+                    types=group_types, datasets=datasets,
+                    menu_contents=json.dumps(menu_contents))
+            return render_error(f"File '{filename}' no longer exists.")
+        return render_error(f"Job '{job_id}' no longer exists.")
+    return render_error("Unknown error")