def plot():
if not request.args.has_key("source_id") or not request.args.has_key("field_id") or not request.args.has_key("ccd_id"):
abort(404)
source_id = int(request.args["source_id"])
field_id = int(request.args["field_id"])
ccd_id = int(request.args["ccd_id"])
if request.args.has_key("set_tags"):
if request.args["set_tags"] == "true":
try:
tags = [str(x) for x in request.args.getlist("tags")]
except KeyError:
tags = []
if request.args.has_key("new_tag"):
tags.append(str(request.args["new_tag"]))
lc_document = light_curve_collection.find_one({"field_id" : field_id, "ccd_id" : ccd_id, "source_id" : source_id})
tags = [str(tag).strip() for tag in tags if len(tag.strip()) > 0]
if lc_document != None:
update_light_curve_document_tags(lc_document, tags, light_curve_collection)
lc_document = light_curve_collection.find_one({"field_id" : field_id, "ccd_id" : ccd_id, "source_id" : source_id})
return render_template('candidates/plot.html', light_curve=lc_document, all_tags=sorted(light_curve_collection.distinct("tags")))
def candidate_data():
""" Load candidate light curves from MongoDB """
search = {}
search["field_id"] = int(request.args["field_id"])
search["ccd_id"] = int(request.args["ccd_id"])
search["source_id"] = int(request.args["source_id"])
candidate = light_curve_collection.find_one(search)
return jsonify(light_curve=candidate)