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Update #273

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10 changes: 6 additions & 4 deletions fink_filters/ztf/filter_anomaly_notification/filter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,6 @@
# limitations under the License.
import pandas as pd
import numpy as np

from astropy import units as u
from astropy.coordinates import SkyCoord

Expand Down Expand Up @@ -133,15 +132,15 @@ def anomaly_notification_(
... df_proc = df.select(
... 'objectId', 'candidate.ra',
... 'candidate.dec', 'candidate.rb',
... f'anomaly_score{model}', 'timestamp')
... f'anomaly_score{model}', 'timestamp', 'candid')
... df_out = anomaly_notification_(df_proc, send_to_tg=False,
... send_to_slack=False, send_to_anomaly_base=True, model=model)

# Disable communication
>>> df_proc = df.select(
... 'objectId', 'candidate.ra',
... 'candidate.dec', 'candidate.rb',
... 'anomaly_score', 'timestamp')
... 'anomaly_score', 'timestamp', 'candid')
>>> pdf_anomalies = anomaly_notification_(df_proc, threshold=10,
... send_to_tg=True, channel_id='@fink_test',
... send_to_slack=False, channel_name=None)
Expand All @@ -161,7 +160,9 @@ def anomaly_notification_(
cut_count = df_proc.count()
if cut_count == 0:
return pd.DataFrame()

df_proc = df_proc.filter(f"not isnan(anomaly_score{model})")
if df_proc.rdd.isEmpty():
return pd.DataFrame()
# Compute the median for the night
buf_df = df_proc.select(f"anomaly_score{model}")
med = buf_df.approxQuantile(f"anomaly_score{model}", [0.5], 0.05)
Expand Down Expand Up @@ -242,6 +243,7 @@ def anomaly_notification_(
{t5_}""".replace("\n", " \n"),
cutout,
curve,
row.candid,
))

init_msg = f"Median anomaly score overnight: {med}."
Expand Down
15 changes: 9 additions & 6 deletions fink_filters/ztf/filter_anomaly_notification/filter_utils.py
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Expand Up @@ -445,19 +445,19 @@ def load_to_anomaly_base(data, model, timeout=60):
tg_id_data = int(tg_id_data.replace('"', ""))
except ValueError:
tg_id_data = "ND"
for ztf_id, text_data, cutout, curve in data:
for ztf_id, text_data, cutout, curve, candid_id in data:
cutout.seek(0)
curve.seek(0)
files = {"image1": cutout, "image2": curve}
data = {"description": text_data}
params = {"ztf_id": ztf_id}
data_payload = {"description": text_data}
params = {"ztf_id": ztf_id, "candid_id": candid_id}
headers = {"Authorization": f"Bearer {access_token}"}
response = send_post_request_with_retry(
session=session,
url="https://anomaly.fink-broker.org:443/images/upload",
files=files,
params=params,
data=data,
data=data_payload,
headers=headers,
timeout=timeout,
source="upload_to_anomaly_base",
Expand All @@ -467,11 +467,14 @@ def load_to_anomaly_base(data, model, timeout=60):
curve.seek(0)
if tg_id_data == "ND":
continue
callback_anomaly = f"A_{candid_id}_{ztf_id}"
callback_not_anomaly = f"NA_{candid_id}_{ztf_id}"

inline_keyboard = {
"inline_keyboard": [
[
{"text": "Anomaly", "callback_data": f"A_{ztf_id}"},
{"text": "Not anomaly", "callback_data": f"NA_{ztf_id}"},
{"text": "Anomaly", "callback_data": callback_anomaly},
{"text": "Not anomaly", "callback_data": callback_not_anomaly},
]
]
}
Expand Down