From 8b05da759ce194798583b1ac52aca63ae90f6e70 Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 10 Feb 2026 11:28:29 +0100 Subject: [PATCH 01/21] Update kp_index_monitor.py Updated the html based on the discussion --- src/kp_index_monitor.py | 30 ++++++++---------------------- 1 file changed, 8 insertions(+), 22 deletions(-) diff --git a/src/kp_index_monitor.py b/src/kp_index_monitor.py index 2ec557d..c774352 100644 --- a/src/kp_index_monitor.py +++ b/src/kp_index_monitor.py @@ -369,49 +369,35 @@ def create_message(self, analysis: AnalysisResults) -> str: end_time_kp_max_status, _, _ = self.get_status_level_color(high_records.loc[end_time]["maximum"].max()) if start_time == end_time: - message_prefix = f"""At {start_time.strftime("%Y-%m-%d %H:%M")} UTC""" + message_prefix = f"""At {start_time.strftime("%H:%M CET %d-%m-%Y")} """ else: message_prefix = ( - f"""From {start_time.strftime("%Y-%m-%d %H:%M")} UTC to {end_time.strftime("%Y-%m-%d %H:%M")} UTC""" + f"""From {start_time.strftime("%H:%M CET %d-%m-%Y")} to {end_time.strftime("%H:%M CET %d-%m-%Y")} """ ) if observed_time != analysis.next_24h_forecast.index[0]: - obs_message_prefix = f""" (Observed Kp data available up to {datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").strftime("%Y-%m-%d %H:%M")} UTC)""" + obs_message_prefix = f""" (Observed Kp data available up to {datetime.strptime(observed_time.strip(), "T%H:%M:%SZ %d-%m-%Y").strftime("%H:%M %d-%m-%Y")} CET)""" else: obs_message_prefix = "" message = f"""

SPACE WEATHER ALERT - {threshold_status} ({threshold_level}) Predicted

-### {message_prefix} Kp is expected to be above {self.config.kp_alert_threshold} ({threshold_level}) with ≥ {prob_at_start_time * 100:.0f}% probability with {start_time_kp_min_status.replace("CONDITIONS", "")} to {end_time_kp_max_status}. +### {message_prefix} space weather conditions can reach {end_time_kp_max_status} level {self.config.kp_alert_threshold} ({threshold_level}) with ≥ {prob_at_start_time * 100:.0f}% probability. -**Current Predicted Conditions:** {status.replace("CONDITIONS", "")} -**Current Observed Conditions:** {observed_status.replace("CONDITIONS", "")} {obs_message_prefix} +**Current Conditions:** {observed_status.replace("CONDITIONS", "")} {obs_message_prefix} ## **ALERT SUMMARY** -- **Alert sent at:** {datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M")} UTC -- **Maximum Kp ≥ {DECIMAL_TO_KP[max_kp_at_finite_time]} with {max_kp_at_finite_time_status} may occur** {max_values.idxmax().strftime("%Y-%m-%d %H:%M")} UTC onwards - **{high_prob_value * 100:.0f}% Probability of {threshold_status} ({threshold_level}) within next {prob_at_time} hours** +- **Alert sent at:** {datetime.now(timezone.utc).strftime("%H:%M CET %d-%m-%Y ")} -![Forecast Image](cid:forecast_image) - -## **HIGH Kp INDEX PERIODS Predicted (Kp ≥ {threshold_level})** -""" - message += self._kp_html_table(high_records, probability_df) +![Forecast Image](cid:forecast_image) - AURORA_KP = 6.33 - high_records_above_threshold = high_records[ - (high_records["minimum"].astype(float) >= AURORA_KP) - | (high_records["median"].astype(float) >= AURORA_KP) - | (high_records["maximum"].astype(float) >= AURORA_KP) - ] - if not high_records_above_threshold.empty: - message += f""" ## **AURORA WATCH:** -**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. +**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicates potential auroral activity at Berlin latitudes. """ From 9297e4dd210b2eb08ab24316c60942b53bb02d9a Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 10 Feb 2026 13:26:41 +0100 Subject: [PATCH 02/21] Update kp_index_monitor.py Fixing the error with "datetime.strptime" --- src/kp_index_monitor.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/kp_index_monitor.py b/src/kp_index_monitor.py index c774352..1b32a1b 100644 --- a/src/kp_index_monitor.py +++ b/src/kp_index_monitor.py @@ -375,7 +375,7 @@ def create_message(self, analysis: AnalysisResults) -> str: f"""From {start_time.strftime("%H:%M CET %d-%m-%Y")} to {end_time.strftime("%H:%M CET %d-%m-%Y")} """ ) if observed_time != analysis.next_24h_forecast.index[0]: - obs_message_prefix = f""" (Observed Kp data available up to {datetime.strptime(observed_time.strip(), "T%H:%M:%SZ %d-%m-%Y").strftime("%H:%M %d-%m-%Y")} CET)""" + obs_message_prefix = f""" (Observed Kp data available up to {datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").strftime("%Y-%m-%d %H:%M")} UTC)""" else: obs_message_prefix = "" From 1e64f5fa44c21ca97ac46897e9778659473ef99f Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 10 Feb 2026 14:32:07 +0100 Subject: [PATCH 03/21] Update kp_index_monitor.py update on aurora forecast --- src/kp_index_monitor.py | 29 ++++++++++++++++++++--------- 1 file changed, 20 insertions(+), 9 deletions(-) diff --git a/src/kp_index_monitor.py b/src/kp_index_monitor.py index 1b32a1b..6d6c94a 100644 --- a/src/kp_index_monitor.py +++ b/src/kp_index_monitor.py @@ -90,9 +90,9 @@ class KpMonitor: for geomagnetic activity monitoring. """ - IMAGE_PATH = "/PAGER/FLAG/data/published/kp_swift_ensemble_LAST.png" - IMAGE_PATH_SWPC = "/PAGER/FLAG/data/published/kp_swift_ensemble_with_swpc_LAST.png" - CSV_PATH = "/PAGER/FLAG/data/published/products/Kp/kp_product_file_SWIFT_LAST.csv" + IMAGE_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_LAST.png" + IMAGE_PATH_SWPC = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_with_swpc_LAST.png" + CSV_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_product_file_SWIFT_LAST.csv" def __init__(self, config: MonitorConfig, log_suffix: str = "") -> None: self.last_alert_time = None @@ -369,17 +369,17 @@ def create_message(self, analysis: AnalysisResults) -> str: end_time_kp_max_status, _, _ = self.get_status_level_color(high_records.loc[end_time]["maximum"].max()) if start_time == end_time: - message_prefix = f"""At {start_time.strftime("%H:%M CET %d-%m-%Y")} """ + message_prefix = f"""At {start_time.strftime("%H:%M (CET) %d-%m-%Y")} """ else: message_prefix = ( - f"""From {start_time.strftime("%H:%M CET %d-%m-%Y")} to {end_time.strftime("%H:%M CET %d-%m-%Y")} """ + f"""From {start_time.strftime("%H:%M (CET) %d-%m-%Y")} to {end_time.strftime("%H:%M (CET) %d-%m-%Y")} """ ) if observed_time != analysis.next_24h_forecast.index[0]: - obs_message_prefix = f""" (Observed Kp data available up to {datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").strftime("%Y-%m-%d %H:%M")} UTC)""" + obs_message_prefix = f""" (Observed Kp data available up to {datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").strftime("%H:%M (CET) %d-%m-%Y")} )""" else: obs_message_prefix = "" - message = f"""

SPACE WEATHER ALERT - {threshold_status} ({threshold_level}) Predicted

+ message = f"""

SPACE WEATHER ALERT - {threshold_status} with ≥ {prob_at_start_time * 100:.0f}% probability Predicted

### {message_prefix} space weather conditions can reach {end_time_kp_max_status} level {self.config.kp_alert_threshold} ({threshold_level}) with ≥ {prob_at_start_time * 100:.0f}% probability. @@ -389,15 +389,26 @@ def create_message(self, analysis: AnalysisResults) -> str: ## **ALERT SUMMARY** - **{high_prob_value * 100:.0f}% Probability of {threshold_status} ({threshold_level}) within next {prob_at_time} hours** -- **Alert sent at:** {datetime.now(timezone.utc).strftime("%H:%M CET %d-%m-%Y ")} +- **Alert sent at:** {datetime.now(timezone.utc).strftime("%H:%M (CET) %d-%m-%Y ")} ![Forecast Image](cid:forecast_image) +""" + message += self._kp_html_table(high_records, probability_df) + + AURORA_KP = 7 + high_records_above_threshold = high_records[ + (high_records["minimum"].astype(float) >= AURORA_KP) + | (high_records["median"].astype(float) >= AURORA_KP) + | (high_records["maximum"].astype(float) >= AURORA_KP) + ] + if not high_records_above_threshold.empty: + message += f""" ## **AURORA WATCH:** -**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicates potential auroral activity at Berlin latitudes. +**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. """ From 55647f464f90efd124dda635ed66a690cb9ede5f Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 10 Feb 2026 15:26:38 +0100 Subject: [PATCH 04/21] Update kp_index_monitor.py Updated the caption! & KP_comparsion --- src/kp_index_monitor.py | 42 ++++++++++++++++++++++++++--------------- 1 file changed, 27 insertions(+), 15 deletions(-) diff --git a/src/kp_index_monitor.py b/src/kp_index_monitor.py index 6d6c94a..b80f7ce 100644 --- a/src/kp_index_monitor.py +++ b/src/kp_index_monitor.py @@ -94,6 +94,13 @@ class KpMonitor: IMAGE_PATH_SWPC = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_with_swpc_LAST.png" CSV_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_product_file_SWIFT_LAST.csv" + # Caption for the forecast plot (SWPC + Min-Max) + FORECAST_IMAGE_CAPTION = ( + "Caption: Kp index forecast: bar colours show activity level (green = quiet, yellow = moderate, " + "red = high). Red dashed line = SWPC (NOAA) official Kp forecast. Black vertical lines " + "on bars = Min–Max range (possible spread of Kp values; longer = more uncertainty)." + ) + def __init__(self, config: MonitorConfig, log_suffix: str = "") -> None: self.last_alert_time = None self.last_max_kp = 0 @@ -348,7 +355,7 @@ def create_message(self, analysis: AnalysisResults) -> str: max_kp_at_finite_time = np.round(max_values.max(), 2) - max_kp_at_finite_time_status, _, _ = self.get_status_level_color(max_kp_at_finite_time) + max_kp_at_finite_time_status, max_kp_at_finite_time_level, _ = self.get_status_level_color(max_kp_at_finite_time) mask = probability_df["Probability"] >= 0.4 if mask.any(): start_time = probability_df.index[mask][0] @@ -375,27 +382,31 @@ def create_message(self, analysis: AnalysisResults) -> str: f"""From {start_time.strftime("%H:%M (CET) %d-%m-%Y")} to {end_time.strftime("%H:%M (CET) %d-%m-%Y")} """ ) if observed_time != analysis.next_24h_forecast.index[0]: - obs_message_prefix = f""" (Observed Kp data available up to {datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").strftime("%H:%M (CET) %d-%m-%Y")} )""" + obs_message_prefix = f""" (Observed Kp data available up to {datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").strftime("%H:%M CET %d-%m-%Y")})""" else: obs_message_prefix = "" - message = f"""

SPACE WEATHER ALERT - {threshold_status} with ≥ {prob_at_start_time * 100:.0f}% probability Predicted

+ # Use "=" for Kp 9 (maximum value), "≥" for all other values + kp_comparison = "=" if max_kp_at_finite_time == 9 else "≥" + + message = f"""

SPACE WEATHER ALERT - {end_time_kp_max_status} ({max_kp_at_finite_time_level}) with ≥ {prob_at_start_time * 100:.0f}% probability Predicted

-### {message_prefix} space weather conditions can reach {end_time_kp_max_status} level {self.config.kp_alert_threshold} ({threshold_level}) with ≥ {prob_at_start_time * 100:.0f}% probability. +### {message_prefix}, space weather conditions can reach {end_time_kp_max_status} with Kp {kp_comparison} {DECIMAL_TO_KP[max_kp_at_finite_time]} ({max_kp_at_finite_time_level}) with ≥ {prob_at_start_time * 100:.0f}% probability. **Current Conditions:** {observed_status.replace("CONDITIONS", "")} {obs_message_prefix} -## **ALERT SUMMARY** +![Forecast Image](cid:forecast_image) -- **{high_prob_value * 100:.0f}% Probability of {threshold_status} ({threshold_level}) within next {prob_at_time} hours** -- **Alert sent at:** {datetime.now(timezone.utc).strftime("%H:%M (CET) %d-%m-%Y ")} +

{self.FORECAST_IMAGE_CAPTION}

+## **ALERT SUMMARY** +- **Alert sent at:** {datetime.now(timezone.utc).strftime("%H:%M CET %d-%m-%Y ")} +- **{high_prob_value * 100:.0f}% Probability of {end_time_kp_max_status} ({max_kp_at_finite_time_level}) within next {prob_at_time} hours** -![Forecast Image](cid:forecast_image) """ - message += self._kp_html_table(high_records, probability_df) + #message += self._kp_html_table(high_records, probability_df) AURORA_KP = 7 high_records_above_threshold = high_records[ @@ -667,15 +678,16 @@ def basic_html_format(self, message: str) -> str: From 1b4395138c988f136fd3229a468733a4feb93587 Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Wed, 11 Feb 2026 13:15:55 +0100 Subject: [PATCH 05/21] Update src/kp_index_monitor.py Co-authored-by: Sahil Jhawar <55475299+sahiljhawar@users.noreply.github.com> --- src/kp_index_monitor.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/kp_index_monitor.py b/src/kp_index_monitor.py index b80f7ce..782bb43 100644 --- a/src/kp_index_monitor.py +++ b/src/kp_index_monitor.py @@ -376,7 +376,7 @@ def create_message(self, analysis: AnalysisResults) -> str: end_time_kp_max_status, _, _ = self.get_status_level_color(high_records.loc[end_time]["maximum"].max()) if start_time == end_time: - message_prefix = f"""At {start_time.strftime("%H:%M (CET) %d-%m-%Y")} """ + message_prefix = f"""At {start_time.strftime("%H:%M (CET) %d.%m.%Y")} """ else: message_prefix = ( f"""From {start_time.strftime("%H:%M (CET) %d-%m-%Y")} to {end_time.strftime("%H:%M (CET) %d-%m-%Y")} """ From 85d696f2e5651a5a93b05c0982bf6103fa688604 Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 17 Feb 2026 09:16:30 +0100 Subject: [PATCH 06/21] Add files via upload kp_index_monitor, which creates html including video --- src/kp_index_monitor_video.py | 783 ++++++++++++++++++++++++++++++++++ 1 file changed, 783 insertions(+) create mode 100644 src/kp_index_monitor_video.py diff --git a/src/kp_index_monitor_video.py b/src/kp_index_monitor_video.py new file mode 100644 index 0000000..a5dd122 --- /dev/null +++ b/src/kp_index_monitor_video.py @@ -0,0 +1,783 @@ +#!/usr/bin/env python3 +""" +Kp Index Space Weather Monitor + +A monitoring system that tracks the Kp geomagnetic index from GFZ Potsdam +and sends automated email alerts when space weather conditions exceed specified thresholds. + +Data Source: GFZ German Research Centre for Geosciences + +""" + +import logging +import re +import shutil +import smtplib +import sys +import time +from dataclasses import dataclass +from datetime import datetime, timedelta, timezone +from email.mime.image import MIMEImage +from email.mime.multipart import MIMEMultipart +from email.mime.text import MIMEText +from pathlib import Path +from typing import Optional, Tuple +from zoneinfo import ZoneInfo + +# Display times in CET (Europe/Berlin handles CET/CEST) +CET = ZoneInfo("Europe/Berlin") + +import markdown +import numpy as np +import pandas as pd +import requests +import typer + +from src.config import MonitorConfig + + +@dataclass +class AnalysisResults: + """ + AnalysisResults containing analysis results with keys: + + Parameters + ---------- + max_kp : float + Maximum Kp value in current forecast + threshold_exceeded: bool + Boolean indicating if threshold exceeded + high_kp_records : pd.DataFrame + Records above alert threshold + next_24h_forecast : pd.DataFrame + Forecast for next 24 hours + alert_worthy : bool + Boolean indicating if alert should be sent + probability_df : pd.DataFrame + DataFrame containing probability of Kp exceeding threshold + """ + + max_kp: float + max_df: pd.Series + threshold_exceeded: bool + high_kp_records: pd.DataFrame + next_24h_forecast: pd.DataFrame + alert_worthy: bool + probability_df: pd.DataFrame + + def __getitem__(self, key): + return getattr(self, key) + + +# fmt: off +KP_TO_DECIMAL = { + "0": 0.00, "0+": 0.33, + "1-": 0.67, "1": 1.00, "1+": 1.33, + "2-": 1.67, "2": 2.00, "2+": 2.33, + "3-": 2.67, "3": 3.00, "3+": 3.33, + "4-": 3.67, "4": 4.00, "4+": 4.33, + "5-": 4.67, "5": 5.00, "5+": 5.33, + "6-": 5.67, "6": 6.00, "6+": 6.33, + "7-": 6.67, "7": 7.00, "7+": 7.33, + "8-": 7.67, "8": 8.00, "8+": 8.33, + "9-": 8.67, "9": 9.00 +} +# fmt: on +DECIMAL_TO_KP = {v: k for k, v in KP_TO_DECIMAL.items()} + + +class KpMonitor: + """ + Main monitoring class for Kp index space weather data. + + Handles data fetching, analysis, alerting, and email notifications + for geomagnetic activity monitoring. + """ + + IMAGE_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_LAST.png" + IMAGE_PATH_SWPC = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_with_swpc_LAST.png" + CSV_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_product_file_SWIFT_LAST.csv" + VIDEO_PATH_AURORA = "/Users/infantronald/work/KP index/KpAlert/mock_files/aurora_forecast.mp4" + + # Caption for the forecast plot (SWPC + Min-Max) + FORECAST_IMAGE_CAPTION = ( + "Caption: KP index forecast: bar colours show activity level green being quiet, yellow being moderate storm, " + "red being high strom. For more information refer the table below. Red dashed line = SWPC (NOAA) official KP forecast. " + "Error bars indicates the minimum-maximum spread of KP values." + ) + + def __init__(self, config: MonitorConfig, log_suffix: str = "") -> None: + self.last_alert_time = None + self.last_max_kp = 0 + self.config = config + self.log_folder = Path(self.config.log_folder) + self.debug_with_swpc = self.config.debug_with_swpc + self.log_folder.mkdir(parents=True, exist_ok=True) + self.config.kp_alert_threshold = np.round(self.config.kp_alert_threshold, 2) + self.kp_threshold_str = DECIMAL_TO_KP[self.config.kp_alert_threshold] + self.LOCAL_IMAGE_PATH = self.copy_image() + self.LOCAL_AURORA_VIDEO_PATH = None # set when building message with AURORA WATCH + self.current_utc_time = pd.Timestamp(datetime.now(timezone.utc)) + self.log_suffix = log_suffix + self.setup_logging() + + def copy_image(self) -> str: + """ + Copies the appropriate Kp forecast image to the current directory. + + Returns + ------- + str + Path to the copied image file. + """ + if self.debug_with_swpc: + return shutil.copy2(self.IMAGE_PATH_SWPC, "./kp_swift_ensemble_with_swpc_LAST.png") + return shutil.copy2(self.IMAGE_PATH, "./kp_swift_ensemble_LAST.png") + + def copy_aurora_video(self) -> str: + """Copy the aurora video to the current directory for html embedding.""" + return shutil.copy2(self.VIDEO_PATH_AURORA, "./aurora_forecast.mp4") + + def setup_logging(self) -> None: + """ + Configure logging to file and console. + + Sets up logging handlers for both file and console output with + appropriate formatting and log levels from configuration. + """ + + def log_uncaught_exceptions(exc_type, exc_value, exc_traceback): + if issubclass(exc_type, KeyboardInterrupt): + sys.__excepthook__(exc_type, exc_value, exc_traceback) + return + logging.error("Uncaught exception", exc_info=(exc_type, exc_value, exc_traceback)) + + sys.excepthook = log_uncaught_exceptions + + logging.basicConfig( + level=self.config.log_level, + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + handlers=[ + logging.FileHandler( + self.log_folder + / f"kp_monitor_{self.log_suffix}_{datetime.now(timezone.utc).strftime('%Y%d%m')}.log" + ), + logging.StreamHandler(), + ], + ) + self.logger = logging.getLogger(__name__) + + def fetch_kp_data(self) -> Optional[pd.DataFrame]: + """ + Fetch current Kp index forecast data from GFZ website. + + Returns + ------- + pd.DataFrame or None + DataFrame containing forecast data or None if fetch fails + """ + try: + df = pd.read_csv(self.CSV_PATH) + + df["Time (UTC)"] = pd.to_datetime(df["Time (UTC)"], format="%d-%m-%Y %H:%M", dayfirst=True, utc=True) + df.index = df["Time (UTC)"] + self.logger.info(f"Successfully fetched {len(df)} records") + return df + + except pd.errors.EmptyDataError: + self.logger.error("Received empty CSV file") + return None + except Exception as e: + self.logger.error(f"Unexpected error: {e}", exc_info=True) + return None + + def analyze_kp_data(self, df: pd.DataFrame) -> AnalysisResults: + """ + Analyze Kp forecast data for alert conditions. + + Parameters + ---------- + df : pd.DataFrame + DataFrame containing Kp forecast data from GFZ + + Returns + ------- + `AnalysisResults` + `AnalysisResults` containing analysis results with keys as described in the `AnalysisResults` dataclass + """ + try: + # Get current maximum values + self.logger.info(f"Current UTC Time: {self.current_utc_time}") + max_values = df[df.index >= self.current_utc_time]["maximum"] + max: float = np.round(max_values.max(), 2) + + self.ensembles = [col for col in df.columns if re.match(r"kp_\d+", col)] + self.total_ensembles = len(self.ensembles) + probability = np.sum(df[self.ensembles] >= self.config.kp_alert_threshold, axis=1) / self.total_ensembles + high_kp_records = df[df["maximum"].astype(float) >= self.config.kp_alert_threshold].copy() + high_kp_records = high_kp_records[high_kp_records["Time (UTC)"] >= self.current_utc_time].copy() + next_24h = df[df["Time (UTC)"] >= self.current_utc_time].head(9).copy() + + high_kp_records["Time (UTC)"] = pd.to_datetime(high_kp_records["Time (UTC)"], utc=True) + next_24h["Time (UTC)"] = pd.to_datetime(next_24h["Time (UTC)"], utc=True) + + probability_df = pd.DataFrame({"Time (UTC)": df["Time (UTC)"], "Probability": probability}) + probability_df.index = probability_df["Time (UTC)"] + probability_df.drop(columns=["Time (UTC)"], inplace=True) + probability_df = probability_df.replace({"Probability": {1.0: 0.95}}) + analysis = AnalysisResults( + max_kp=max, + max_df=max_values, + threshold_exceeded=max > self.config.kp_alert_threshold, + high_kp_records=high_kp_records.round(2), + next_24h_forecast=next_24h.round(2), + alert_worthy=len(high_kp_records) > 0, + probability_df=probability_df.round(2), + ) + + self.logger.info( + f"Analysis complete - Current Kp: {DECIMAL_TO_KP[max]}, Alert: {analysis['alert_worthy']}, Threshold: {self.kp_threshold_str}" + ) + return analysis + + except Exception as e: + self.logger.error(f"Error analyzing data: {e}", exc_info=True) + return {"alert_worthy": False, "max_kp": 0} + + def footer(self) -> str: + return f""" +*This is an automated alert from the Kp Index Monitoring System using GFZ Space Weather Forecast.* + +--- + + +© {datetime.now().year} GFZ Helmholtz Centre for Geosciences | GFZ Helmholtz-Zentrum für Geoforschung +The data/data products are provided "as-is" without warranty of any kind either expressed or implied, including but not limited to the implied warranties of merchantability, correctness and fitness for a particular purpose. The entire risk as to the quality and performance of the Data/data products is with the Licensee. +In no event will GFZ be liable for any damages direct, indirect, incidental, or consequential, including damages for any lost profits, lost savings, or other incidental or consequential damages arising out of the use or inability to use the data/data products. + + """ + + def _kp_html_table(self, record: pd.DataFrame, probabilities: pd.DataFrame) -> str: + """Generate markdown table for Kp index records.""" + table = f""" +| Time (CET) | Probability (Kp ≥ {self.kp_threshold_str}) | Min Kp Index[1] | Max Kp Index[2] | Median Kp Index[3] | Activity[4][5] | +|------------|-------------------------------------------|------------------|------------------|---------------------|------------------| +""" + for _, row in record.iterrows(): + kp_val_max = np.round(row["maximum"], 2) + kp_val_med = np.round(row["median"], 2) + kp_val_min = np.round(row["minimum"], 2) + _, level_min, color_min = self.get_status_level_color(kp_val_min) + _, level_max, color_max = self.get_status_level_color(kp_val_max) + + time_idx = row["Time (UTC)"] + prob = probabilities.loc[time_idx, "Probability"] + + time_str = row["Time (UTC)"].tz_convert(CET).strftime("%Y-%m-%d %H:%M") + prob_str = f"{prob * 100:.0f}%" + activity_str = f'{level_min} - {level_max}' + + table += f"| **{time_str}** | **{prob_str}** | **{DECIMAL_TO_KP[kp_val_min]}** | **{DECIMAL_TO_KP[kp_val_max]}** | **{DECIMAL_TO_KP[kp_val_med]}** | {activity_str} |\n" + + table += """ +1 Min Kp Index: Minimum value of Kp Ensembles +2 Max Kp Index: Maximum value of Kp Ensembles +3 Median Kp Index: Median value of Kp Ensembles +4 Geomagnetic Activity Level based on Min-Max range +""" + return table + + def get_observed_kp(self, start: pd.Timestamp) -> Tuple[str, float] | None: + """ + Fetch observed Kp index data from GFZ API. + + Parameters + ---------- + start : pd.Timestamp + Start time for fetching observed Kp data + + Returns + ------- + Tuple[str, float] or None + Tuple with datetime and Kp value if found, None otherwise + + """ + try: + max_attempts = 8 # search back up to 24 hours (8 * 3-hou) + attempts = 0 + + while attempts < max_attempts: + start_date_str = start.strftime("%Y-%m-%dT%H:%M:%SZ") + end_date_str = (start + timedelta(hours=3)).strftime("%Y-%m-%dT%H:%M:%SZ") + url = f"https://kp.gfz.de/app/json/?start={start_date_str}&end={end_date_str}&index=Kp" + + self.logger.info(f"Fetching observed Kp data from {start_date_str} to {end_date_str}") + + response = requests.get(url) + response.raise_for_status() + + data = response.json() + + if len(data.get("Kp", [])) > 0: + self.logger.info(f"Observed Kp data found for {data['datetime'][0]} : {data['Kp'][0]}") + return data["datetime"][0], data["Kp"][0] + + else: + self.logger.warning(f"No observed Kp data found for {start_date_str}, shifting 3 hours back") + start -= timedelta(hours=3) + attempts += 1 + + self.logger.warning("No observed Kp data found after multiple shifts") + return None + + except Exception as e: + self.logger.error(f"Error fetching observed Kp data: {e}", exc_info=True) + return None + + def create_message(self, analysis: AnalysisResults) -> str: + """ + Create formatted alert message for high Kp conditions using Markdown. + + Parameters + ---------- + analysis : `AnalysisResults` + `AnalysisResults` containing analysis results from analyze_kp_data + + Returns + ------- + message : str + Formatted Markdown alert message + """ + high_records = analysis["high_kp_records"] + probability_df = analysis["probability_df"] + probability_df = probability_df[probability_df.index >= self.current_utc_time] + current_kp = analysis.next_24h_forecast["median"].iloc[0] + status, _, _ = self.get_status_level_color(current_kp) + + max_values = analysis["max_df"] + + prob_at_time = 24 # hours + target_time = self.current_utc_time + pd.Timedelta(hours=prob_at_time) + nearest_idx = target_time.round("3h") + high_prob_value = probability_df[:nearest_idx]["Probability"].max() + + threshold_status, threshold_level, _ = self.get_status_level_color(self.config.kp_alert_threshold) + + max_kp_at_finite_time = np.round(max_values.max(), 2) + + max_kp_at_finite_time_status, max_kp_at_finite_time_level, _ = self.get_status_level_color(max_kp_at_finite_time) + mask = probability_df["Probability"] >= 0.4 + if mask.any(): + start_time = probability_df.index[mask][0] + end_time = probability_df.index[mask][-1] + else: + start_time = high_records["minimum"].idxmax() + end_time = high_records["maximum"].idxmax() + + observed_time, observed_kp = self.get_observed_kp(analysis.next_24h_forecast.index[0]) + prob_at_start_time = probability_df.loc[start_time]["Probability"] + + if observed_kp is not None: + observed_status, _, _ = self.get_status_level_color(observed_kp) + else: + observed_status = "DATA NOT AVAILABLE YET" + + start_time_kp_min_status, _, _ = self.get_status_level_color(high_records.loc[start_time]["minimum"].min()) + end_time_kp_max_status, _, _ = self.get_status_level_color(high_records.loc[end_time]["maximum"].max()) + + start_cet = start_time.tz_convert(CET) + end_cet = end_time.tz_convert(CET) + if start_time == end_time: + message_prefix = f"""At {start_cet.strftime("%H:%M (CET) %d.%m.%Y")} """ + else: + message_prefix = ( + f"""From {start_cet.strftime("%H:%M (CET) %d.%m.%Y")} to {end_cet.strftime("%H:%M (CET) %d.%m.%Y")}""" + ) + if observed_time != analysis.next_24h_forecast.index[0]: + obs_utc = datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc) + obs_message_prefix = f""" (Observed Kp data available up to {obs_utc.astimezone(CET).strftime("%H:%M CET %d.%m.%Y")})""" + else: + obs_message_prefix = "" + + # Use "=" for Kp 9 (maximum value), "≥" for all other values + kp_comparison = "=" if max_kp_at_finite_time == 9 else "≥" + + message = f"""

SPACE WEATHER ALERT - {end_time_kp_max_status} ({max_kp_at_finite_time_level}) with probability ≥ {prob_at_start_time * 100:.0f}% predicted

+ + +### {message_prefix}, space weather can reach {end_time_kp_max_status} with Kp {kp_comparison} {DECIMAL_TO_KP[max_kp_at_finite_time]} with probability ≥ {prob_at_start_time * 100:.0f}%. + +**Current Conditions:** {observed_status.replace("CONDITIONS", "")} {obs_message_prefix} + +![Forecast Image](cid:forecast_image) + +

{self.FORECAST_IMAGE_CAPTION}

+ +## **ALERT SUMMARY** +- **Alert sent at:** {datetime.now(timezone.utc).astimezone(CET).strftime("%H:%M CET %d.%m.%Y ")} +- **{high_prob_value * 100:.0f}% Probability of {end_time_kp_max_status} ({max_kp_at_finite_time_level}) within next {prob_at_time} hours** + + +""" + #message += self._kp_html_table(high_records, probability_df) + + AURORA_KP = 7 + high_records_above_threshold = high_records[ + (high_records["minimum"].astype(float) >= AURORA_KP) + | (high_records["median"].astype(float) >= AURORA_KP) + | (high_records["maximum"].astype(float) >= AURORA_KP) + ] + + if not high_records_above_threshold.empty: + message += f""" +## **AURORA WATCH:** + + + +**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. + +""" + + message += """## GEOMAGNETIC ACTIVITY SCALE""" + message += self.get_storm_level_description_table() + message += "\n" + message += self.footer() + + return message.strip() + + def create_subject(self, analysis: AnalysisResults) -> str: + """ + Create email subject line based on analysis results. + + Parameters + ---------- + analysis : `AnalysisResults` + `AnalysisResults` containing analysis results from analyze_kp_data + + Returns + ------- + subject : str + Email subject line + """ + _, level_min, _ = self.get_status_level_color(analysis["high_kp_records"]["minimum"].max()) + _, level_max, _ = self.get_status_level_color(analysis["high_kp_records"]["maximum"].max()) + + subject = f"Predicted Geomagnetic Activity from {level_min} - {level_max}" + return subject.strip() + + def get_storm_level_description_table(self) -> str: + """Generate markdown table for geomagnetic storm levels.""" + G1 = "[NOAA [G1]](https://www.swpc.noaa.gov/noaa-scales-explanation#:~:text=G%201)" + G2 = "[NOAA [G2]](https://www.swpc.noaa.gov/noaa-scales-explanation#:~:text=G%202)" + G3 = "[NOAA [G3]](https://www.swpc.noaa.gov/noaa-scales-explanation#:~:text=G%203)" + G4 = "[NOAA [G4]](https://www.swpc.noaa.gov/noaa-scales-explanation#:~:text=G%204)" + G5 = "[NOAA [G5]](https://www.swpc.noaa.gov/noaa-scales-explanation#:~:text=G%205)" + + rows = [ + ("Quiet", "0-3", "Quiet conditions"), + ("Active", "4", "Moderate geomagnetic activity"), + ("Minor Storm (G1)", "5", f"Weak power grid fluctuations. For more details see {G1}"), + ("Moderate Storm (G2)", "6", f"High-latitude power systems affected. For more details see {G2}"), + ("Strong Storm (G3)", "7", f"Power systems may need voltage corrections. For more details see {G3}"), + ("Severe Storm (G4)", "8", f"Possible widespread voltage control problems. For more details see {G4}"), + ("Extreme Storm (G5)", "9", f"Widespread power system voltage control problems. For more details see {G5}"), + ] + + table = """ +| Level | Kp Value | Description | +|-------|----------|-------------| +""" + for level, kp_value, desc in rows: + table += f"| **{level}** | **{kp_value}** | {desc} |\n" + + return table + + def get_status_level_color(self, kp: float) -> tuple[str, str, str]: + """Get geomagnetic status, level, and color based on Kp value. + + Parameters + ---------- + kp : float + Kp index value + + Returns + ------- + status : str + Geomagnetic activity status description + level : str + Geomagnetic storm level (e.g., [G1], [G2], etc.) + color : str + Hex color code representing severity + """ + status = "UNKNOWN" + level = "[?]" + color = "#000000" + if kp == 9: + status = "EXTREME STORM CONDITIONS" + level = "G5" + color = "#FE0004" + elif kp >= 8: + status = "SEVERE STORM CONDITIONS" + level = "G4" + color = "#FE0004" + elif kp >= 7: + status = "STRONG STORM CONDITIONS" + level = "G3" + color = "#FD0007" + elif kp >= 6: + status = "MODERATE STORM CONDITIONS" + level = "G2" + color = "#FF4612" + elif kp >= 5: + status = "MINOR STORM CONDITIONS" + level = "G1" + color = "#FE801D" + elif kp >= 4: + status = "MODERATE CONDITIONS" + level = "MODERATE" + color = "#FFFA3D" + else: + status = "QUIET CONDITIONS" + level = "QUIET" + color = "#5cb85c" + return status, level, color + + def send_alert(self, subject: str, message: str) -> bool: + """ + Send email using the system's configured SMTP (without calling `mail`). + + Parameters + ---------- + subject : str + Email subject line + message : str + Email message content (HTML formatted) + + Returns + ------- + bool + True if email sent successfully, False otherwise + """ + try: + recipients = self.config.recipients + self.construct_and_send_email(recipients, subject, message) + + self.logger.info(f"Mail sent successfully to {len(recipients)} recipients") + return True + + except Exception as e: + self.logger.error(f"Error sending mail: {e}", exc_info=True) + return False + + def should_send_alert(self, analysis: AnalysisResults) -> bool: + """ + Determine if alert should be sent to avoid spam. + + Parameters + ---------- + analysis : AnalysisResults + AnalysisResults containing analysis results from analyze_kp_data + + Returns + ------- + bool + True if alert should be sent, False otherwise + """ + if not analysis["alert_worthy"]: + return False + current_time = pd.Timestamp.now(tz="UTC") + if self.last_alert_time: + time_since_last_alert = (current_time - self.last_alert_time).total_seconds() / 3600 + if time_since_last_alert < 6: + self.logger.warning("Skipping alert - too soon since last alert") + return False + + return True + + def run_single_check(self) -> bool: + """ + Execute a single monitoring check cycle. + + Fetches Kp data, analyzes it, and sends alerts if necessary. + + Returns + ------- + bool + True if check completed successfully, False otherwise + """ + self.logger.info("Kp Index check") + df = self.fetch_kp_data() + if df is None: + return False + analysis = self.analyze_kp_data(df) + + if self.should_send_alert(analysis): + max_kp = analysis["max_kp"] + + message = self.create_message(analysis) + subject = self.create_subject(analysis) + + _ = self.copy_image() + self.LOCAL_AURORA_VIDEO_PATH = self.copy_aurora_video() + email_sent = self.send_alert(subject, message) + message_for_file = markdown.markdown( + message.replace("cid:forecast_image", self.LOCAL_IMAGE_PATH), + extensions=["tables", "fenced_code", "footnotes", "nl2br"], + ) + html_output = self.basic_html_format(message_for_file) + with open("index.html", "w") as f: + f.write(html_output) + + if email_sent: + self.last_alert_time = pd.Timestamp.now(tz="UTC") + self.last_max_kp = max_kp + else: + self.logger.info( + f"No alert needed - Current Kp: {analysis['max_kp']:.2f}, Threshold: {self.kp_threshold_str}" + ) + + return True + + def construct_and_send_email(self, recipients: list[str], subject: str, message: str) -> None: + """Construct and send an email with HTML content and embedded image. + + Parameters + ---------- + recipients : list[str] + List of recipient email addresses + subject : str + Email subject line + message : str + Email message content (Markdown formatted, will be converted to HTML) + """ + html_message = markdown.markdown( + message, + extensions=[ + "tables", + "fenced_code", + "footnotes", + "nl2br", + ], + ) + html_message = self.basic_html_format(html_message) + + # root message as multipart/related + msg_root = MIMEMultipart("related") + msg_root["From"] = "pager" + msg_root["Reply-To"] = "jhawar@gfz-potsdam.de" + + if len(recipients) == 1: + msg_root["To"] = recipients[0] + else: + msg_root["Bcc"] = ", ".join(recipients) + msg_root["Subject"] = subject + + msg_alternative = MIMEMultipart("alternative") + msg_root.attach(msg_alternative) + + plain_text = "Your email client does not support HTML." + msg_alternative.attach(MIMEText(plain_text, "plain")) + + msg_alternative.attach(MIMEText(html_message, "html")) + with open(self.LOCAL_IMAGE_PATH, "rb") as f: + img = MIMEImage(f.read()) + img.add_header("Content-ID", "") + img.add_header("Content-Disposition", "inline", filename="forecast_image.png") + msg_root.attach(img) + + # Note: Video attachments are not well supported in email clients + # The video will be available in the generated HTML file + + with smtplib.SMTP("localhost") as smtp: + smtp.send_message(msg_root) + + def basic_html_format(self, message: str) -> str: + formatting = f""" + + + + + + + {message} + + + """ + return formatting + + def run_continuous_monitoring(self) -> None: + """ + Run continuous monitoring with specified check intervals. + + Runs indefinitely, checking Kp data at configured intervals and + sending alerts when thresholds are exceeded. Can be stopped with + Ctrl+C (KeyboardInterrupt). + """ + self.logger.info("Starting continuous Kp index monitoring") + self.logger.info(f"Check interval: {self.config.check_interval_hours} hours") + self.logger.info(f"Alert threshold: {self.config.kp_alert_threshold}") + + while True: + try: + self.run_single_check() + + # Wait for next check + sleep_seconds = self.config.check_interval_hours * 3600 + self.logger.info(f"Waiting {self.config.check_interval_hours} hours until next check...") + time.sleep(sleep_seconds) + + except KeyboardInterrupt: + self.logger.info("Monitoring stopped by user") + break + except Exception as e: + self.logger.error(f"Error in monitoring loop: {e}", exc_info=True) + time.sleep(300) + + +app = typer.Typer(help="Kp Index Space Weather Monitor", add_completion=False, pretty_exceptions_enable=False) + + +@app.command() +def main( + once: bool = typer.Option(False, "--once", help="Run single check and exit"), + continuous: bool = typer.Option(False, "--continuous", help="Run continuous monitoring"), +): + """ + Main function with command line interface. + """ + selected = [flag for flag in (once, continuous) if flag] + if len(selected) == 0: + raise typer.BadParameter("One of --once or --continuous must be specified") + if len(selected) > 1: + raise typer.BadParameter( + "Options --once and --continuous are mutually exclusive i.e., only one can be selected." + ) + + config = MonitorConfig.from_yaml() + log_suffix = "once" if once else "continuous" + monitor = KpMonitor(config, log_suffix=log_suffix) + + if once: + monitor.run_single_check() + + elif continuous: + monitor.run_continuous_monitoring() + + +if __name__ == "__main__": + app() \ No newline at end of file From 14e93236cee6383995e6a9594e40d67d4f378c22 Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 17 Feb 2026 10:38:08 +0100 Subject: [PATCH 07/21] Update kp_index_monitor.py The patch with the aurora video and also edited HTML format. --- src/kp_index_monitor.py | 48 ++++++++++++++++++++++++++++++----------- 1 file changed, 35 insertions(+), 13 deletions(-) diff --git a/src/kp_index_monitor.py b/src/kp_index_monitor.py index 782bb43..8f2f1b9 100644 --- a/src/kp_index_monitor.py +++ b/src/kp_index_monitor.py @@ -22,6 +22,10 @@ from email.mime.text import MIMEText from pathlib import Path from typing import Optional, Tuple +from zoneinfo import ZoneInfo + +# Display times in CET (Europe/Berlin handles CET/CEST) +CET = ZoneInfo("Europe/Berlin") import markdown import numpy as np @@ -93,12 +97,13 @@ class KpMonitor: IMAGE_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_LAST.png" IMAGE_PATH_SWPC = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_with_swpc_LAST.png" CSV_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_product_file_SWIFT_LAST.csv" + VIDEO_PATH_AURORA = "/Users/infantronald/work/KP index/KpAlert/mock_files/aurora_forecast.mp4" # Caption for the forecast plot (SWPC + Min-Max) FORECAST_IMAGE_CAPTION = ( - "Caption: Kp index forecast: bar colours show activity level (green = quiet, yellow = moderate, " - "red = high). Red dashed line = SWPC (NOAA) official Kp forecast. Black vertical lines " - "on bars = Min–Max range (possible spread of Kp values; longer = more uncertainty)." + "Caption: KP index forecast: bar colours show activity level green being quiet, yellow being moderate storm, " + "red being high strom. For more information refer the table below. Red dashed line = SWPC (NOAA) official KP forecast. " + "Error bars indicates the minimum-maximum spread of KP values." ) def __init__(self, config: MonitorConfig, log_suffix: str = "") -> None: @@ -111,6 +116,7 @@ def __init__(self, config: MonitorConfig, log_suffix: str = "") -> None: self.config.kp_alert_threshold = np.round(self.config.kp_alert_threshold, 2) self.kp_threshold_str = DECIMAL_TO_KP[self.config.kp_alert_threshold] self.LOCAL_IMAGE_PATH = self.copy_image() + self.LOCAL_AURORA_VIDEO_PATH = None # set when building message with AURORA WATCH self.current_utc_time = pd.Timestamp(datetime.now(timezone.utc)) self.log_suffix = log_suffix self.setup_logging() @@ -128,6 +134,10 @@ def copy_image(self) -> str: return shutil.copy2(self.IMAGE_PATH_SWPC, "./kp_swift_ensemble_with_swpc_LAST.png") return shutil.copy2(self.IMAGE_PATH, "./kp_swift_ensemble_LAST.png") + def copy_aurora_video(self) -> str: + """Copy the aurora video to the current directory for html embedding.""" + return shutil.copy2(self.VIDEO_PATH_AURORA, "./aurora_forecast.mp4") + def setup_logging(self) -> None: """ Configure logging to file and console. @@ -250,7 +260,7 @@ def footer(self) -> str: def _kp_html_table(self, record: pd.DataFrame, probabilities: pd.DataFrame) -> str: """Generate markdown table for Kp index records.""" table = f""" -| Time (UTC) | Probability (Kp ≥ {self.kp_threshold_str}) | Min Kp Index[1] | Max Kp Index[2] | Median Kp Index[3] | Activity[4][5] | +| Time (CET) | Probability (Kp ≥ {self.kp_threshold_str}) | Min Kp Index[1] | Max Kp Index[2] | Median Kp Index[3] | Activity[4][5] | |------------|-------------------------------------------|------------------|------------------|---------------------|------------------| """ for _, row in record.iterrows(): @@ -263,7 +273,7 @@ def _kp_html_table(self, record: pd.DataFrame, probabilities: pd.DataFrame) -> s time_idx = row["Time (UTC)"] prob = probabilities.loc[time_idx, "Probability"] - time_str = row["Time (UTC)"].strftime("%Y-%m-%d %H:%M") + time_str = row["Time (UTC)"].tz_convert(CET).strftime("%Y-%m-%d %H:%M") prob_str = f"{prob * 100:.0f}%" activity_str = f'{level_min} - {level_max}' @@ -375,24 +385,27 @@ def create_message(self, analysis: AnalysisResults) -> str: start_time_kp_min_status, _, _ = self.get_status_level_color(high_records.loc[start_time]["minimum"].min()) end_time_kp_max_status, _, _ = self.get_status_level_color(high_records.loc[end_time]["maximum"].max()) + start_cet = start_time.tz_convert(CET) + end_cet = end_time.tz_convert(CET) if start_time == end_time: - message_prefix = f"""At {start_time.strftime("%H:%M (CET) %d.%m.%Y")} """ + message_prefix = f"""At {start_cet.strftime("%H:%M (CET) %d.%m.%Y")} """ else: message_prefix = ( - f"""From {start_time.strftime("%H:%M (CET) %d-%m-%Y")} to {end_time.strftime("%H:%M (CET) %d-%m-%Y")} """ + f"""From {start_cet.strftime("%H:%M (CET) %d.%m.%Y")} to {end_cet.strftime("%H:%M (CET) %d.%m.%Y")}""" ) if observed_time != analysis.next_24h_forecast.index[0]: - obs_message_prefix = f""" (Observed Kp data available up to {datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").strftime("%H:%M CET %d-%m-%Y")})""" + obs_utc = datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc) + obs_message_prefix = f""" (Observed Kp data available up to {obs_utc.astimezone(CET).strftime("%H:%M CET %d.%m.%Y")})""" else: obs_message_prefix = "" # Use "=" for Kp 9 (maximum value), "≥" for all other values kp_comparison = "=" if max_kp_at_finite_time == 9 else "≥" - message = f"""

SPACE WEATHER ALERT - {end_time_kp_max_status} ({max_kp_at_finite_time_level}) with ≥ {prob_at_start_time * 100:.0f}% probability Predicted

+ message = f"""

SPACE WEATHER ALERT - {end_time_kp_max_status} ({max_kp_at_finite_time_level}) with probability ≥ {prob_at_start_time * 100:.0f}% predicted

-### {message_prefix}, space weather conditions can reach {end_time_kp_max_status} with Kp {kp_comparison} {DECIMAL_TO_KP[max_kp_at_finite_time]} ({max_kp_at_finite_time_level}) with ≥ {prob_at_start_time * 100:.0f}% probability. +### {message_prefix}, space weather can reach {end_time_kp_max_status} with Kp {kp_comparison} {DECIMAL_TO_KP[max_kp_at_finite_time]} with probability ≥ {prob_at_start_time * 100:.0f}%. **Current Conditions:** {observed_status.replace("CONDITIONS", "")} {obs_message_prefix} @@ -401,7 +414,7 @@ def create_message(self, analysis: AnalysisResults) -> str:

{self.FORECAST_IMAGE_CAPTION}

## **ALERT SUMMARY** -- **Alert sent at:** {datetime.now(timezone.utc).strftime("%H:%M CET %d-%m-%Y ")} +- **Alert sent at:** {datetime.now(timezone.utc).astimezone(CET).strftime("%H:%M CET %d.%m.%Y ")} - **{high_prob_value * 100:.0f}% Probability of {end_time_kp_max_status} ({max_kp_at_finite_time_level}) within next {prob_at_time} hours** @@ -419,11 +432,16 @@ def create_message(self, analysis: AnalysisResults) -> str: message += f""" ## **AURORA WATCH:** + + **Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. """ - message += """## GEOMAGNETIC ACTIVITY SCALE 5""" + message += """## GEOMAGNETIC ACTIVITY SCALE""" message += self.get_storm_level_description_table() message += "\n" message += self.footer() @@ -602,8 +620,9 @@ def run_single_check(self) -> bool: message = self.create_message(analysis) subject = self.create_subject(analysis) - email_sent = self.send_alert(subject, message) _ = self.copy_image() + self.LOCAL_AURORA_VIDEO_PATH = self.copy_aurora_video() + email_sent = self.send_alert(subject, message) message_for_file = markdown.markdown( message.replace("cid:forecast_image", self.LOCAL_IMAGE_PATH), extensions=["tables", "fenced_code", "footnotes", "nl2br"], @@ -669,6 +688,9 @@ def construct_and_send_email(self, recipients: list[str], subject: str, message: img.add_header("Content-Disposition", "inline", filename="forecast_image.png") msg_root.attach(img) + # Note: Video attachments are not well supported in email clients + # The video will be available in the generated HTML file + with smtplib.SMTP("localhost") as smtp: smtp.send_message(msg_root) From e9fa9b65b998d01b5c5f16b6a8f6cd852044319a Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 17 Feb 2026 10:40:59 +0100 Subject: [PATCH 08/21] Add files via upload mock files for testing --- assets/aurora_forecast.mp4 | Bin 0 -> 417653 bytes assets/kp_product_file_SWIFT_LAST.csv | 27 ++++++++++++++++++++++++++ assets/kp_swift_ensemble_LAST.png | Bin 0 -> 49470 bytes 3 files changed, 27 insertions(+) create mode 100644 assets/aurora_forecast.mp4 create mode 100644 assets/kp_product_file_SWIFT_LAST.csv create mode 100644 assets/kp_swift_ensemble_LAST.png diff --git a/assets/aurora_forecast.mp4 b/assets/aurora_forecast.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..e2c48952930b8bd18f24250fa0dad44b43c6fe94 GIT binary patch literal 417653 zcmYJZW0)vCur4~bZEKBf+qP}n<{D#-ZQHhO+qQA%+xwhze{@nQB~|HupFEuc001B` zb@s5gaI&)j0008`um61*4P1>FZ0wmC0000WOdU;30Kl}gY>W+@e|4(BK!1M9Hbu_5 zj@QInlBrh-)`+if+!>N!97=B4dCVCDQ0z(566J~n)Ux7I7uL7NnyoeYL zGl77r(66SkiP5h>$j;uw+QihEfRUb_iH4D$k@1&l?(A&ONk`}A=0@vkVQgY&ZD31l z=V(Uv-z>D|&NkM+I(GKX7IwByoCHP&h6YAF3_YxLU?*jTum z80-D#k>S@u&(Xlv%!G%5mB7f{(ay#|@7I)pz}eBn+SaIn|2Gc|QGapqwra5i`RHTd8bTs%+$JEil#>DA2S%!M{9>27OF%RP}ZD4F*|6de_ zdWIGTPXA3};b`(dak-gTn3+2p{>tp^O>Fhd?CgJ~|I4)hHMKJF`1Q@h$U^^rNIe@1 z+h4wuk%_H|k;`w8^#85W(cr&~I+{3{|5`g5>HWWG|C2i!@fbOp64)62ruDz5eg`~^ zOtka_4*$i%Lr=^4OWObE_kVf=cOF)bUxt&jiT!U5E$n~y==Xj2-NIjA1`fa5|KDZ; 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0 HcmV?d00001 From 044561b88e83b32117c65f4fac3b629357f72017 Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 17 Feb 2026 10:42:57 +0100 Subject: [PATCH 09/21] Update kp_index_monitor.py changed the source path to assets folder --- src/kp_index_monitor.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/kp_index_monitor.py b/src/kp_index_monitor.py index 8f2f1b9..4789bf2 100644 --- a/src/kp_index_monitor.py +++ b/src/kp_index_monitor.py @@ -94,10 +94,10 @@ class KpMonitor: for geomagnetic activity monitoring. """ - IMAGE_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_LAST.png" - IMAGE_PATH_SWPC = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_with_swpc_LAST.png" - CSV_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_product_file_SWIFT_LAST.csv" - VIDEO_PATH_AURORA = "/Users/infantronald/work/KP index/KpAlert/mock_files/aurora_forecast.mp4" + IMAGE_PATH = "./assets/kp_swift_ensemble_LAST.png" + IMAGE_PATH_SWPC = "./assets/kp_swift_ensemble_with_swpc_LAST.png" + CSV_PATH = "./assets/kp_product_file_SWIFT_LAST.csv" + VIDEO_PATH_AURORA = "./assets/aurora_forecast.mp4" # Caption for the forecast plot (SWPC + Min-Max) FORECAST_IMAGE_CAPTION = ( From 9a8f0858709d9095fe84c328135953b695e36548 Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 17 Feb 2026 10:46:39 +0100 Subject: [PATCH 10/21] Add files via upload Added index.html (including Video) --- index.html | 95 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 95 insertions(+) create mode 100644 index.html diff --git a/index.html b/index.html new file mode 100644 index 0000000..59046e1 --- /dev/null +++ b/index.html @@ -0,0 +1,95 @@ + + + + + + + +

SPACE WEATHER ALERT - STRONG STORM CONDITIONS (G3) with probability ≥ 70% predicted

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From 04:00 (CET) 13.02.2026 to 13:00 (CET) 13.02.2026, space weather can reach STRONG STORM CONDITIONS with Kp ≥ 7+ with probability ≥ 70%.

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Current Conditions: QUIET (Observed Kp data available up to 16:00 CET 12.02.2026)

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Forecast Image

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Caption: KP index forecast: bar colours show activity level green being quiet, yellow being moderate storm, red being high strom. For more information refer the table below. Red dashed line = SWPC (NOAA) official KP forecast. Error bars indicates the minimum-maximum spread of KP values.

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ALERT SUMMARY

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  • Alert sent at: 17:07 CET 12.02.2026
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  • 95% Probability of STRONG STORM CONDITIONS (G3) within next 24 hours
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AURORA WATCH:

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Note: Kp ≥ 7 indicate potential auroral activity at Berlin latitudes.

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GEOMAGNETIC ACTIVITY SCALE

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LevelKp ValueDescription
Quiet0-3Quiet conditions
Active4Moderate geomagnetic activity
Minor Storm (G1)5Weak power grid fluctuations. For more details see NOAA [G1]
Moderate Storm (G2)6High-latitude power systems affected. For more details see NOAA [G2]
Strong Storm (G3)7Power systems may need voltage corrections. For more details see NOAA [G3]
Severe Storm (G4)8Possible widespread voltage control problems. For more details see NOAA [G4]
Extreme Storm (G5)9Widespread power system voltage control problems. For more details see NOAA [G5]
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This is an automated alert from the Kp Index Monitoring System using GFZ Space Weather Forecast.

+
+


+© 2026 GFZ Helmholtz Centre for Geosciences | GFZ Helmholtz-Zentrum für Geoforschung
+The data/data products are provided "as-is" without warranty of any kind either expressed or implied, including but not limited to the implied warranties of merchantability, correctness and fitness for a particular purpose. The entire risk as to the quality and performance of the Data/data products is with the Licensee.
+In no event will GFZ be liable for any damages direct, indirect, incidental, or consequential, including damages for any lost profits, lost savings, or other incidental or consequential damages arising out of the use or inability to use the data/data products.
+

+ + + \ No newline at end of file From b5887db4d111828d1297b400bc63b844e6283d9f Mon Sep 17 00:00:00 2001 From: Sahil Jhawar <55475299+sahiljhawar@users.noreply.github.com> Date: Tue, 17 Feb 2026 14:11:13 +0100 Subject: [PATCH 11/21] Delete src/kp_index_monitor_video.py --- src/kp_index_monitor_video.py | 783 ---------------------------------- 1 file changed, 783 deletions(-) delete mode 100644 src/kp_index_monitor_video.py diff --git a/src/kp_index_monitor_video.py b/src/kp_index_monitor_video.py deleted file mode 100644 index a5dd122..0000000 --- a/src/kp_index_monitor_video.py +++ /dev/null @@ -1,783 +0,0 @@ -#!/usr/bin/env python3 -""" -Kp Index Space Weather Monitor - -A monitoring system that tracks the Kp geomagnetic index from GFZ Potsdam -and sends automated email alerts when space weather conditions exceed specified thresholds. - -Data Source: GFZ German Research Centre for Geosciences - -""" - -import logging -import re -import shutil -import smtplib -import sys -import time -from dataclasses import dataclass -from datetime import datetime, timedelta, timezone -from email.mime.image import MIMEImage -from email.mime.multipart import MIMEMultipart -from email.mime.text import MIMEText -from pathlib import Path -from typing import Optional, Tuple -from zoneinfo import ZoneInfo - -# Display times in CET (Europe/Berlin handles CET/CEST) -CET = ZoneInfo("Europe/Berlin") - -import markdown -import numpy as np -import pandas as pd -import requests -import typer - -from src.config import MonitorConfig - - -@dataclass -class AnalysisResults: - """ - AnalysisResults containing analysis results with keys: - - Parameters - ---------- - max_kp : float - Maximum Kp value in current forecast - threshold_exceeded: bool - Boolean indicating if threshold exceeded - high_kp_records : pd.DataFrame - Records above alert threshold - next_24h_forecast : pd.DataFrame - Forecast for next 24 hours - alert_worthy : bool - Boolean indicating if alert should be sent - probability_df : pd.DataFrame - DataFrame containing probability of Kp exceeding threshold - """ - - max_kp: float - max_df: pd.Series - threshold_exceeded: bool - high_kp_records: pd.DataFrame - next_24h_forecast: pd.DataFrame - alert_worthy: bool - probability_df: pd.DataFrame - - def __getitem__(self, key): - return getattr(self, key) - - -# fmt: off -KP_TO_DECIMAL = { - "0": 0.00, "0+": 0.33, - "1-": 0.67, "1": 1.00, "1+": 1.33, - "2-": 1.67, "2": 2.00, "2+": 2.33, - "3-": 2.67, "3": 3.00, "3+": 3.33, - "4-": 3.67, "4": 4.00, "4+": 4.33, - "5-": 4.67, "5": 5.00, "5+": 5.33, - "6-": 5.67, "6": 6.00, "6+": 6.33, - "7-": 6.67, "7": 7.00, "7+": 7.33, - "8-": 7.67, "8": 8.00, "8+": 8.33, - "9-": 8.67, "9": 9.00 -} -# fmt: on -DECIMAL_TO_KP = {v: k for k, v in KP_TO_DECIMAL.items()} - - -class KpMonitor: - """ - Main monitoring class for Kp index space weather data. - - Handles data fetching, analysis, alerting, and email notifications - for geomagnetic activity monitoring. - """ - - IMAGE_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_LAST.png" - IMAGE_PATH_SWPC = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_with_swpc_LAST.png" - CSV_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_product_file_SWIFT_LAST.csv" - VIDEO_PATH_AURORA = "/Users/infantronald/work/KP index/KpAlert/mock_files/aurora_forecast.mp4" - - # Caption for the forecast plot (SWPC + Min-Max) - FORECAST_IMAGE_CAPTION = ( - "Caption: KP index forecast: bar colours show activity level green being quiet, yellow being moderate storm, " - "red being high strom. For more information refer the table below. Red dashed line = SWPC (NOAA) official KP forecast. " - "Error bars indicates the minimum-maximum spread of KP values." - ) - - def __init__(self, config: MonitorConfig, log_suffix: str = "") -> None: - self.last_alert_time = None - self.last_max_kp = 0 - self.config = config - self.log_folder = Path(self.config.log_folder) - self.debug_with_swpc = self.config.debug_with_swpc - self.log_folder.mkdir(parents=True, exist_ok=True) - self.config.kp_alert_threshold = np.round(self.config.kp_alert_threshold, 2) - self.kp_threshold_str = DECIMAL_TO_KP[self.config.kp_alert_threshold] - self.LOCAL_IMAGE_PATH = self.copy_image() - self.LOCAL_AURORA_VIDEO_PATH = None # set when building message with AURORA WATCH - self.current_utc_time = pd.Timestamp(datetime.now(timezone.utc)) - self.log_suffix = log_suffix - self.setup_logging() - - def copy_image(self) -> str: - """ - Copies the appropriate Kp forecast image to the current directory. - - Returns - ------- - str - Path to the copied image file. - """ - if self.debug_with_swpc: - return shutil.copy2(self.IMAGE_PATH_SWPC, "./kp_swift_ensemble_with_swpc_LAST.png") - return shutil.copy2(self.IMAGE_PATH, "./kp_swift_ensemble_LAST.png") - - def copy_aurora_video(self) -> str: - """Copy the aurora video to the current directory for html embedding.""" - return shutil.copy2(self.VIDEO_PATH_AURORA, "./aurora_forecast.mp4") - - def setup_logging(self) -> None: - """ - Configure logging to file and console. - - Sets up logging handlers for both file and console output with - appropriate formatting and log levels from configuration. - """ - - def log_uncaught_exceptions(exc_type, exc_value, exc_traceback): - if issubclass(exc_type, KeyboardInterrupt): - sys.__excepthook__(exc_type, exc_value, exc_traceback) - return - logging.error("Uncaught exception", exc_info=(exc_type, exc_value, exc_traceback)) - - sys.excepthook = log_uncaught_exceptions - - logging.basicConfig( - level=self.config.log_level, - format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", - handlers=[ - logging.FileHandler( - self.log_folder - / f"kp_monitor_{self.log_suffix}_{datetime.now(timezone.utc).strftime('%Y%d%m')}.log" - ), - logging.StreamHandler(), - ], - ) - self.logger = logging.getLogger(__name__) - - def fetch_kp_data(self) -> Optional[pd.DataFrame]: - """ - Fetch current Kp index forecast data from GFZ website. - - Returns - ------- - pd.DataFrame or None - DataFrame containing forecast data or None if fetch fails - """ - try: - df = pd.read_csv(self.CSV_PATH) - - df["Time (UTC)"] = pd.to_datetime(df["Time (UTC)"], format="%d-%m-%Y %H:%M", dayfirst=True, utc=True) - df.index = df["Time (UTC)"] - self.logger.info(f"Successfully fetched {len(df)} records") - return df - - except pd.errors.EmptyDataError: - self.logger.error("Received empty CSV file") - return None - except Exception as e: - self.logger.error(f"Unexpected error: {e}", exc_info=True) - return None - - def analyze_kp_data(self, df: pd.DataFrame) -> AnalysisResults: - """ - Analyze Kp forecast data for alert conditions. - - Parameters - ---------- - df : pd.DataFrame - DataFrame containing Kp forecast data from GFZ - - Returns - ------- - `AnalysisResults` - `AnalysisResults` containing analysis results with keys as described in the `AnalysisResults` dataclass - """ - try: - # Get current maximum values - self.logger.info(f"Current UTC Time: {self.current_utc_time}") - max_values = df[df.index >= self.current_utc_time]["maximum"] - max: float = np.round(max_values.max(), 2) - - self.ensembles = [col for col in df.columns if re.match(r"kp_\d+", col)] - self.total_ensembles = len(self.ensembles) - probability = np.sum(df[self.ensembles] >= self.config.kp_alert_threshold, axis=1) / self.total_ensembles - high_kp_records = df[df["maximum"].astype(float) >= self.config.kp_alert_threshold].copy() - high_kp_records = high_kp_records[high_kp_records["Time (UTC)"] >= self.current_utc_time].copy() - next_24h = df[df["Time (UTC)"] >= self.current_utc_time].head(9).copy() - - high_kp_records["Time (UTC)"] = pd.to_datetime(high_kp_records["Time (UTC)"], utc=True) - next_24h["Time (UTC)"] = pd.to_datetime(next_24h["Time (UTC)"], utc=True) - - probability_df = pd.DataFrame({"Time (UTC)": df["Time (UTC)"], "Probability": probability}) - probability_df.index = probability_df["Time (UTC)"] - probability_df.drop(columns=["Time (UTC)"], inplace=True) - probability_df = probability_df.replace({"Probability": {1.0: 0.95}}) - analysis = AnalysisResults( - max_kp=max, - max_df=max_values, - threshold_exceeded=max > self.config.kp_alert_threshold, - high_kp_records=high_kp_records.round(2), - next_24h_forecast=next_24h.round(2), - alert_worthy=len(high_kp_records) > 0, - probability_df=probability_df.round(2), - ) - - self.logger.info( - f"Analysis complete - Current Kp: {DECIMAL_TO_KP[max]}, Alert: {analysis['alert_worthy']}, Threshold: {self.kp_threshold_str}" - ) - return analysis - - except Exception as e: - self.logger.error(f"Error analyzing data: {e}", exc_info=True) - return {"alert_worthy": False, "max_kp": 0} - - def footer(self) -> str: - return f""" -*This is an automated alert from the Kp Index Monitoring System using GFZ Space Weather Forecast.* - ---- - - -© {datetime.now().year} GFZ Helmholtz Centre for Geosciences | GFZ Helmholtz-Zentrum für Geoforschung -The data/data products are provided "as-is" without warranty of any kind either expressed or implied, including but not limited to the implied warranties of merchantability, correctness and fitness for a particular purpose. The entire risk as to the quality and performance of the Data/data products is with the Licensee. -In no event will GFZ be liable for any damages direct, indirect, incidental, or consequential, including damages for any lost profits, lost savings, or other incidental or consequential damages arising out of the use or inability to use the data/data products. - - """ - - def _kp_html_table(self, record: pd.DataFrame, probabilities: pd.DataFrame) -> str: - """Generate markdown table for Kp index records.""" - table = f""" -| Time (CET) | Probability (Kp ≥ {self.kp_threshold_str}) | Min Kp Index[1] | Max Kp Index[2] | Median Kp Index[3] | Activity[4][5] | -|------------|-------------------------------------------|------------------|------------------|---------------------|------------------| -""" - for _, row in record.iterrows(): - kp_val_max = np.round(row["maximum"], 2) - kp_val_med = np.round(row["median"], 2) - kp_val_min = np.round(row["minimum"], 2) - _, level_min, color_min = self.get_status_level_color(kp_val_min) - _, level_max, color_max = self.get_status_level_color(kp_val_max) - - time_idx = row["Time (UTC)"] - prob = probabilities.loc[time_idx, "Probability"] - - time_str = row["Time (UTC)"].tz_convert(CET).strftime("%Y-%m-%d %H:%M") - prob_str = f"{prob * 100:.0f}%" - activity_str = f'{level_min} - {level_max}' - - table += f"| **{time_str}** | **{prob_str}** | **{DECIMAL_TO_KP[kp_val_min]}** | **{DECIMAL_TO_KP[kp_val_max]}** | **{DECIMAL_TO_KP[kp_val_med]}** | {activity_str} |\n" - - table += """ -1 Min Kp Index: Minimum value of Kp Ensembles -2 Max Kp Index: Maximum value of Kp Ensembles -3 Median Kp Index: Median value of Kp Ensembles -4 Geomagnetic Activity Level based on Min-Max range -""" - return table - - def get_observed_kp(self, start: pd.Timestamp) -> Tuple[str, float] | None: - """ - Fetch observed Kp index data from GFZ API. - - Parameters - ---------- - start : pd.Timestamp - Start time for fetching observed Kp data - - Returns - ------- - Tuple[str, float] or None - Tuple with datetime and Kp value if found, None otherwise - - """ - try: - max_attempts = 8 # search back up to 24 hours (8 * 3-hou) - attempts = 0 - - while attempts < max_attempts: - start_date_str = start.strftime("%Y-%m-%dT%H:%M:%SZ") - end_date_str = (start + timedelta(hours=3)).strftime("%Y-%m-%dT%H:%M:%SZ") - url = f"https://kp.gfz.de/app/json/?start={start_date_str}&end={end_date_str}&index=Kp" - - self.logger.info(f"Fetching observed Kp data from {start_date_str} to {end_date_str}") - - response = requests.get(url) - response.raise_for_status() - - data = response.json() - - if len(data.get("Kp", [])) > 0: - self.logger.info(f"Observed Kp data found for {data['datetime'][0]} : {data['Kp'][0]}") - return data["datetime"][0], data["Kp"][0] - - else: - self.logger.warning(f"No observed Kp data found for {start_date_str}, shifting 3 hours back") - start -= timedelta(hours=3) - attempts += 1 - - self.logger.warning("No observed Kp data found after multiple shifts") - return None - - except Exception as e: - self.logger.error(f"Error fetching observed Kp data: {e}", exc_info=True) - return None - - def create_message(self, analysis: AnalysisResults) -> str: - """ - Create formatted alert message for high Kp conditions using Markdown. - - Parameters - ---------- - analysis : `AnalysisResults` - `AnalysisResults` containing analysis results from analyze_kp_data - - Returns - ------- - message : str - Formatted Markdown alert message - """ - high_records = analysis["high_kp_records"] - probability_df = analysis["probability_df"] - probability_df = probability_df[probability_df.index >= self.current_utc_time] - current_kp = analysis.next_24h_forecast["median"].iloc[0] - status, _, _ = self.get_status_level_color(current_kp) - - max_values = analysis["max_df"] - - prob_at_time = 24 # hours - target_time = self.current_utc_time + pd.Timedelta(hours=prob_at_time) - nearest_idx = target_time.round("3h") - high_prob_value = probability_df[:nearest_idx]["Probability"].max() - - threshold_status, threshold_level, _ = self.get_status_level_color(self.config.kp_alert_threshold) - - max_kp_at_finite_time = np.round(max_values.max(), 2) - - max_kp_at_finite_time_status, max_kp_at_finite_time_level, _ = self.get_status_level_color(max_kp_at_finite_time) - mask = probability_df["Probability"] >= 0.4 - if mask.any(): - start_time = probability_df.index[mask][0] - end_time = probability_df.index[mask][-1] - else: - start_time = high_records["minimum"].idxmax() - end_time = high_records["maximum"].idxmax() - - observed_time, observed_kp = self.get_observed_kp(analysis.next_24h_forecast.index[0]) - prob_at_start_time = probability_df.loc[start_time]["Probability"] - - if observed_kp is not None: - observed_status, _, _ = self.get_status_level_color(observed_kp) - else: - observed_status = "DATA NOT AVAILABLE YET" - - start_time_kp_min_status, _, _ = self.get_status_level_color(high_records.loc[start_time]["minimum"].min()) - end_time_kp_max_status, _, _ = self.get_status_level_color(high_records.loc[end_time]["maximum"].max()) - - start_cet = start_time.tz_convert(CET) - end_cet = end_time.tz_convert(CET) - if start_time == end_time: - message_prefix = f"""At {start_cet.strftime("%H:%M (CET) %d.%m.%Y")} """ - else: - message_prefix = ( - f"""From {start_cet.strftime("%H:%M (CET) %d.%m.%Y")} to {end_cet.strftime("%H:%M (CET) %d.%m.%Y")}""" - ) - if observed_time != analysis.next_24h_forecast.index[0]: - obs_utc = datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc) - obs_message_prefix = f""" (Observed Kp data available up to {obs_utc.astimezone(CET).strftime("%H:%M CET %d.%m.%Y")})""" - else: - obs_message_prefix = "" - - # Use "=" for Kp 9 (maximum value), "≥" for all other values - kp_comparison = "=" if max_kp_at_finite_time == 9 else "≥" - - message = f"""

SPACE WEATHER ALERT - {end_time_kp_max_status} ({max_kp_at_finite_time_level}) with probability ≥ {prob_at_start_time * 100:.0f}% predicted

- - -### {message_prefix}, space weather can reach {end_time_kp_max_status} with Kp {kp_comparison} {DECIMAL_TO_KP[max_kp_at_finite_time]} with probability ≥ {prob_at_start_time * 100:.0f}%. - -**Current Conditions:** {observed_status.replace("CONDITIONS", "")} {obs_message_prefix} - -![Forecast Image](cid:forecast_image) - -

{self.FORECAST_IMAGE_CAPTION}

- -## **ALERT SUMMARY** -- **Alert sent at:** {datetime.now(timezone.utc).astimezone(CET).strftime("%H:%M CET %d.%m.%Y ")} -- **{high_prob_value * 100:.0f}% Probability of {end_time_kp_max_status} ({max_kp_at_finite_time_level}) within next {prob_at_time} hours** - - -""" - #message += self._kp_html_table(high_records, probability_df) - - AURORA_KP = 7 - high_records_above_threshold = high_records[ - (high_records["minimum"].astype(float) >= AURORA_KP) - | (high_records["median"].astype(float) >= AURORA_KP) - | (high_records["maximum"].astype(float) >= AURORA_KP) - ] - - if not high_records_above_threshold.empty: - message += f""" -## **AURORA WATCH:** - - - -**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. - -""" - - message += """## GEOMAGNETIC ACTIVITY SCALE""" - message += self.get_storm_level_description_table() - message += "\n" - message += self.footer() - - return message.strip() - - def create_subject(self, analysis: AnalysisResults) -> str: - """ - Create email subject line based on analysis results. - - Parameters - ---------- - analysis : `AnalysisResults` - `AnalysisResults` containing analysis results from analyze_kp_data - - Returns - ------- - subject : str - Email subject line - """ - _, level_min, _ = self.get_status_level_color(analysis["high_kp_records"]["minimum"].max()) - _, level_max, _ = self.get_status_level_color(analysis["high_kp_records"]["maximum"].max()) - - subject = f"Predicted Geomagnetic Activity from {level_min} - {level_max}" - return subject.strip() - - def get_storm_level_description_table(self) -> str: - """Generate markdown table for geomagnetic storm levels.""" - G1 = "[NOAA [G1]](https://www.swpc.noaa.gov/noaa-scales-explanation#:~:text=G%201)" - G2 = "[NOAA [G2]](https://www.swpc.noaa.gov/noaa-scales-explanation#:~:text=G%202)" - G3 = "[NOAA [G3]](https://www.swpc.noaa.gov/noaa-scales-explanation#:~:text=G%203)" - G4 = "[NOAA [G4]](https://www.swpc.noaa.gov/noaa-scales-explanation#:~:text=G%204)" - G5 = "[NOAA [G5]](https://www.swpc.noaa.gov/noaa-scales-explanation#:~:text=G%205)" - - rows = [ - ("Quiet", "0-3", "Quiet conditions"), - ("Active", "4", "Moderate geomagnetic activity"), - ("Minor Storm (G1)", "5", f"Weak power grid fluctuations. For more details see {G1}"), - ("Moderate Storm (G2)", "6", f"High-latitude power systems affected. For more details see {G2}"), - ("Strong Storm (G3)", "7", f"Power systems may need voltage corrections. For more details see {G3}"), - ("Severe Storm (G4)", "8", f"Possible widespread voltage control problems. For more details see {G4}"), - ("Extreme Storm (G5)", "9", f"Widespread power system voltage control problems. For more details see {G5}"), - ] - - table = """ -| Level | Kp Value | Description | -|-------|----------|-------------| -""" - for level, kp_value, desc in rows: - table += f"| **{level}** | **{kp_value}** | {desc} |\n" - - return table - - def get_status_level_color(self, kp: float) -> tuple[str, str, str]: - """Get geomagnetic status, level, and color based on Kp value. - - Parameters - ---------- - kp : float - Kp index value - - Returns - ------- - status : str - Geomagnetic activity status description - level : str - Geomagnetic storm level (e.g., [G1], [G2], etc.) - color : str - Hex color code representing severity - """ - status = "UNKNOWN" - level = "[?]" - color = "#000000" - if kp == 9: - status = "EXTREME STORM CONDITIONS" - level = "G5" - color = "#FE0004" - elif kp >= 8: - status = "SEVERE STORM CONDITIONS" - level = "G4" - color = "#FE0004" - elif kp >= 7: - status = "STRONG STORM CONDITIONS" - level = "G3" - color = "#FD0007" - elif kp >= 6: - status = "MODERATE STORM CONDITIONS" - level = "G2" - color = "#FF4612" - elif kp >= 5: - status = "MINOR STORM CONDITIONS" - level = "G1" - color = "#FE801D" - elif kp >= 4: - status = "MODERATE CONDITIONS" - level = "MODERATE" - color = "#FFFA3D" - else: - status = "QUIET CONDITIONS" - level = "QUIET" - color = "#5cb85c" - return status, level, color - - def send_alert(self, subject: str, message: str) -> bool: - """ - Send email using the system's configured SMTP (without calling `mail`). - - Parameters - ---------- - subject : str - Email subject line - message : str - Email message content (HTML formatted) - - Returns - ------- - bool - True if email sent successfully, False otherwise - """ - try: - recipients = self.config.recipients - self.construct_and_send_email(recipients, subject, message) - - self.logger.info(f"Mail sent successfully to {len(recipients)} recipients") - return True - - except Exception as e: - self.logger.error(f"Error sending mail: {e}", exc_info=True) - return False - - def should_send_alert(self, analysis: AnalysisResults) -> bool: - """ - Determine if alert should be sent to avoid spam. - - Parameters - ---------- - analysis : AnalysisResults - AnalysisResults containing analysis results from analyze_kp_data - - Returns - ------- - bool - True if alert should be sent, False otherwise - """ - if not analysis["alert_worthy"]: - return False - current_time = pd.Timestamp.now(tz="UTC") - if self.last_alert_time: - time_since_last_alert = (current_time - self.last_alert_time).total_seconds() / 3600 - if time_since_last_alert < 6: - self.logger.warning("Skipping alert - too soon since last alert") - return False - - return True - - def run_single_check(self) -> bool: - """ - Execute a single monitoring check cycle. - - Fetches Kp data, analyzes it, and sends alerts if necessary. - - Returns - ------- - bool - True if check completed successfully, False otherwise - """ - self.logger.info("Kp Index check") - df = self.fetch_kp_data() - if df is None: - return False - analysis = self.analyze_kp_data(df) - - if self.should_send_alert(analysis): - max_kp = analysis["max_kp"] - - message = self.create_message(analysis) - subject = self.create_subject(analysis) - - _ = self.copy_image() - self.LOCAL_AURORA_VIDEO_PATH = self.copy_aurora_video() - email_sent = self.send_alert(subject, message) - message_for_file = markdown.markdown( - message.replace("cid:forecast_image", self.LOCAL_IMAGE_PATH), - extensions=["tables", "fenced_code", "footnotes", "nl2br"], - ) - html_output = self.basic_html_format(message_for_file) - with open("index.html", "w") as f: - f.write(html_output) - - if email_sent: - self.last_alert_time = pd.Timestamp.now(tz="UTC") - self.last_max_kp = max_kp - else: - self.logger.info( - f"No alert needed - Current Kp: {analysis['max_kp']:.2f}, Threshold: {self.kp_threshold_str}" - ) - - return True - - def construct_and_send_email(self, recipients: list[str], subject: str, message: str) -> None: - """Construct and send an email with HTML content and embedded image. - - Parameters - ---------- - recipients : list[str] - List of recipient email addresses - subject : str - Email subject line - message : str - Email message content (Markdown formatted, will be converted to HTML) - """ - html_message = markdown.markdown( - message, - extensions=[ - "tables", - "fenced_code", - "footnotes", - "nl2br", - ], - ) - html_message = self.basic_html_format(html_message) - - # root message as multipart/related - msg_root = MIMEMultipart("related") - msg_root["From"] = "pager" - msg_root["Reply-To"] = "jhawar@gfz-potsdam.de" - - if len(recipients) == 1: - msg_root["To"] = recipients[0] - else: - msg_root["Bcc"] = ", ".join(recipients) - msg_root["Subject"] = subject - - msg_alternative = MIMEMultipart("alternative") - msg_root.attach(msg_alternative) - - plain_text = "Your email client does not support HTML." - msg_alternative.attach(MIMEText(plain_text, "plain")) - - msg_alternative.attach(MIMEText(html_message, "html")) - with open(self.LOCAL_IMAGE_PATH, "rb") as f: - img = MIMEImage(f.read()) - img.add_header("Content-ID", "") - img.add_header("Content-Disposition", "inline", filename="forecast_image.png") - msg_root.attach(img) - - # Note: Video attachments are not well supported in email clients - # The video will be available in the generated HTML file - - with smtplib.SMTP("localhost") as smtp: - smtp.send_message(msg_root) - - def basic_html_format(self, message: str) -> str: - formatting = f""" - - - - - - - {message} - - - """ - return formatting - - def run_continuous_monitoring(self) -> None: - """ - Run continuous monitoring with specified check intervals. - - Runs indefinitely, checking Kp data at configured intervals and - sending alerts when thresholds are exceeded. Can be stopped with - Ctrl+C (KeyboardInterrupt). - """ - self.logger.info("Starting continuous Kp index monitoring") - self.logger.info(f"Check interval: {self.config.check_interval_hours} hours") - self.logger.info(f"Alert threshold: {self.config.kp_alert_threshold}") - - while True: - try: - self.run_single_check() - - # Wait for next check - sleep_seconds = self.config.check_interval_hours * 3600 - self.logger.info(f"Waiting {self.config.check_interval_hours} hours until next check...") - time.sleep(sleep_seconds) - - except KeyboardInterrupt: - self.logger.info("Monitoring stopped by user") - break - except Exception as e: - self.logger.error(f"Error in monitoring loop: {e}", exc_info=True) - time.sleep(300) - - -app = typer.Typer(help="Kp Index Space Weather Monitor", add_completion=False, pretty_exceptions_enable=False) - - -@app.command() -def main( - once: bool = typer.Option(False, "--once", help="Run single check and exit"), - continuous: bool = typer.Option(False, "--continuous", help="Run continuous monitoring"), -): - """ - Main function with command line interface. - """ - selected = [flag for flag in (once, continuous) if flag] - if len(selected) == 0: - raise typer.BadParameter("One of --once or --continuous must be specified") - if len(selected) > 1: - raise typer.BadParameter( - "Options --once and --continuous are mutually exclusive i.e., only one can be selected." - ) - - config = MonitorConfig.from_yaml() - log_suffix = "once" if once else "continuous" - monitor = KpMonitor(config, log_suffix=log_suffix) - - if once: - monitor.run_single_check() - - elif continuous: - monitor.run_continuous_monitoring() - - -if __name__ == "__main__": - app() \ No newline at end of file From 5f87e45230bbfd48694234cbc045b832aee6511d Mon Sep 17 00:00:00 2001 From: Sahil Jhawar Date: Tue, 17 Feb 2026 14:59:36 +0100 Subject: [PATCH 12/21] feat: add Kp monitor test mode and improve alert formatting - add --test CLI flag with mutually exclusive mode validation - support synthetic Kp data generation for test runs - thread test mode through run_single_check() and fetch_kp_data() - update forecast caption text and aurora note wording - improve logging format with level and source line details - adjust forecast caption styling and minor message formatting cleanup --- index.html | 18 +++---- src/kp_index_monitor.py | 112 ++++++++++++++++++++++++++++------------ 2 files changed, 89 insertions(+), 41 deletions(-) diff --git a/index.html b/index.html index 59046e1..fb4c26c 100644 --- a/index.html +++ b/index.html @@ -11,23 +11,23 @@ h1 { color: #d9534f; font-size: 1.5rem; } h2 { color: #5bc0de; margin-top: 30px; font-size: 1.25rem; } h3 { color: #000000; font-size: 1.1rem; } - .forecast-caption { font-size: 12px; color: #555; margin-top: 4px; } + .forecast-caption { font-size: 16px; color: #444444; margin-top: 4px;} small { font-size: 11px; color: #333; } hr { border: 0; border-top: 1px solid #ddd; margin: 20px 0; } -

SPACE WEATHER ALERT - STRONG STORM CONDITIONS (G3) with probability ≥ 70% predicted

+

SPACE WEATHER ALERT - EXTREME STORM CONDITIONS (G5) with probability ≥ 40% predicted

-

From 04:00 (CET) 13.02.2026 to 13:00 (CET) 13.02.2026, space weather can reach STRONG STORM CONDITIONS with Kp ≥ 7+ with probability ≥ 70%.

-

Current Conditions: QUIET (Observed Kp data available up to 16:00 CET 12.02.2026)

-

Forecast Image

-

Caption: KP index forecast: bar colours show activity level green being quiet, yellow being moderate storm, red being high strom. For more information refer the table below. Red dashed line = SWPC (NOAA) official KP forecast. Error bars indicates the minimum-maximum spread of KP values.

+

From 11:56 (CET) 18.02.2026 to 17:56 (CET) 18.02.2026, space weather can reach EXTREME STORM CONDITIONS with Kp = 9 with probability ≥ 40%.

+

Current Conditions: QUIET (Observed Kp data available up to 13:00 CET 17.02.2026)

+

Forecast Image

+

Bar colours indicate geomagnetic activity levels: green corresponds to quiet conditions (Kp < 3), yellow to moderate activity (3 < Kp ≤ 6), and red to high storm conditions (Kp > 6). The red dashed line shows the official NOAA SWPC Kp forecast. Error bars represent the minimum-maximum spread of forecast Kp values.

ALERT SUMMARY

    -
  • Alert sent at: 17:07 CET 12.02.2026
    • -
  • 95% Probability of STRONG STORM CONDITIONS (G3) within next 24 hours
    • +
  • Alert sent at: 14:56 CET 17.02.2026
    • +
  • 40% Probability of EXTREME STORM CONDITIONS (G5) within next 24 hours

AURORA WATCH:

-

Note: Kp ≥ 7 indicate potential auroral activity at Berlin latitudes.

+

Note: Kp ≥ 7 indicate potential auroral activity at Berlin latitudes. Time indicated in UTC.

GEOMAGNETIC ACTIVITY SCALE

diff --git a/src/kp_index_monitor.py b/src/kp_index_monitor.py index 4789bf2..3f4d441 100644 --- a/src/kp_index_monitor.py +++ b/src/kp_index_monitor.py @@ -100,11 +100,7 @@ class KpMonitor: VIDEO_PATH_AURORA = "./assets/aurora_forecast.mp4" # Caption for the forecast plot (SWPC + Min-Max) - FORECAST_IMAGE_CAPTION = ( - "Caption: KP index forecast: bar colours show activity level green being quiet, yellow being moderate storm, " - "red being high strom. For more information refer the table below. Red dashed line = SWPC (NOAA) official KP forecast. " - "Error bars indicates the minimum-maximum spread of KP values." - ) + FORECAST_IMAGE_CAPTION = "Bar colours indicate geomagnetic activity levels: green corresponds to quiet conditions (Kp < 3), yellow to moderate activity (3 < Kp ≤ 6), and red to high storm conditions (Kp > 6). The red dashed line shows the official NOAA SWPC Kp forecast. Error bars represent the minimum-maximum spread of forecast Kp values." def __init__(self, config: MonitorConfig, log_suffix: str = "") -> None: self.last_alert_time = None @@ -156,7 +152,7 @@ def log_uncaught_exceptions(exc_type, exc_value, exc_traceback): logging.basicConfig( level=self.config.log_level, - format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + format="[%(levelname)-8s] %(asctime)s - %(name)s:%(lineno)d - %(message)s", handlers=[ logging.FileHandler( self.log_folder @@ -167,29 +163,71 @@ def log_uncaught_exceptions(exc_type, exc_value, exc_traceback): ) self.logger = logging.getLogger(__name__) - def fetch_kp_data(self) -> Optional[pd.DataFrame]: + def fetch_kp_data(self, test: bool = False) -> Optional[pd.DataFrame]: """ Fetch current Kp index forecast data from GFZ website. + Parameters + ---------- + test : bool, optional + If True, create a test DataFrame with synthetic data instead of reading from CSV, by default False Returns ------- pd.DataFrame or None DataFrame containing forecast data or None if fetch fails """ - try: - df = pd.read_csv(self.CSV_PATH) + if not test: + try: + df = pd.read_csv(self.CSV_PATH) - df["Time (UTC)"] = pd.to_datetime(df["Time (UTC)"], format="%d-%m-%Y %H:%M", dayfirst=True, utc=True) - df.index = df["Time (UTC)"] - self.logger.info(f"Successfully fetched {len(df)} records") - return df + df["Time (UTC)"] = pd.to_datetime(df["Time (UTC)"], format="%d-%m-%Y %H:%M", dayfirst=True, utc=True) + df.index = df["Time (UTC)"] + self.logger.info(f"Successfully fetched {len(df)} records") + return df - except pd.errors.EmptyDataError: - self.logger.error("Received empty CSV file") - return None - except Exception as e: - self.logger.error(f"Unexpected error: {e}", exc_info=True) - return None + except pd.errors.EmptyDataError: + self.logger.error("Received empty CSV file") + return None + except Exception as e: + self.logger.error(f"Unexpected error: {e}", exc_info=True) + return None + else: + self.logger.info("Running in test mode - generating synthetic Kp data") + return self.get_test_data() + + def round_to_step(self, x, step=0.33): + return np.round(x / step) * step + + def get_test_data(self) -> pd.DataFrame: + time_index = pd.date_range(start=self.current_utc_time, periods=10, freq="3h") + + data = {"Time (UTC)": time_index} + + kp_members = [] + + for i in range(20): + vals = np.round(np.random.choice(np.linspace(0, 9, 28), len(time_index)), 2) + data[f"kp_{i}"] = vals + kp_members.append(vals) + + kp_array = np.vstack(kp_members).T + + data["minimum"] = np.min(kp_array, axis=1) + data["0.25-quantile"] = np.quantile(kp_array, 0.25, axis=1) + data["median"] = np.median(kp_array, axis=1) + data["0.75-quantile"] = np.quantile(kp_array, 0.75, axis=1) + data["maximum"] = np.max(kp_array, axis=1) + + data["prob 4-5"] = np.mean((kp_array >= 4) & (kp_array < 5), axis=1) + data["prob 5-6"] = np.mean((kp_array >= 5) & (kp_array < 6), axis=1) + data["prob 6-7"] = np.mean((kp_array >= 6) & (kp_array < 7), axis=1) + data["prob 7-8"] = np.mean((kp_array >= 7) & (kp_array < 8), axis=1) + data["prob >= 8"] = np.mean(kp_array >= 8, axis=1) + + df = pd.DataFrame(data) + df.index = df["Time (UTC)"] + + return df def analyze_kp_data(self, df: pd.DataFrame) -> AnalysisResults: """ @@ -210,7 +248,6 @@ def analyze_kp_data(self, df: pd.DataFrame) -> AnalysisResults: self.logger.info(f"Current UTC Time: {self.current_utc_time}") max_values = df[df.index >= self.current_utc_time]["maximum"] max: float = np.round(max_values.max(), 2) - self.ensembles = [col for col in df.columns if re.match(r"kp_\d+", col)] self.total_ensembles = len(self.ensembles) probability = np.sum(df[self.ensembles] >= self.config.kp_alert_threshold, axis=1) / self.total_ensembles @@ -365,7 +402,9 @@ def create_message(self, analysis: AnalysisResults) -> str: max_kp_at_finite_time = np.round(max_values.max(), 2) - max_kp_at_finite_time_status, max_kp_at_finite_time_level, _ = self.get_status_level_color(max_kp_at_finite_time) + max_kp_at_finite_time_status, max_kp_at_finite_time_level, _ = self.get_status_level_color( + max_kp_at_finite_time + ) mask = probability_df["Probability"] >= 0.4 if mask.any(): start_time = probability_df.index[mask][0] @@ -395,7 +434,9 @@ def create_message(self, analysis: AnalysisResults) -> str: ) if observed_time != analysis.next_24h_forecast.index[0]: obs_utc = datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc) - obs_message_prefix = f""" (Observed Kp data available up to {obs_utc.astimezone(CET).strftime("%H:%M CET %d.%m.%Y")})""" + obs_message_prefix = ( + f""" (Observed Kp data available up to {obs_utc.astimezone(CET).strftime("%H:%M CET %d.%m.%Y")})""" + ) else: obs_message_prefix = "" @@ -419,7 +460,7 @@ def create_message(self, analysis: AnalysisResults) -> str: """ - #message += self._kp_html_table(high_records, probability_df) + # message += self._kp_html_table(high_records, probability_df) AURORA_KP = 7 high_records_above_threshold = high_records[ @@ -437,7 +478,7 @@ def create_message(self, analysis: AnalysisResults) -> str: Your browser does not support the video tag. -**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. +**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. Time indicated in UTC. """ @@ -597,11 +638,15 @@ def should_send_alert(self, analysis: AnalysisResults) -> bool: return True - def run_single_check(self) -> bool: + def run_single_check(self, test: bool = False) -> bool: """ Execute a single monitoring check cycle. Fetches Kp data, analyzes it, and sends alerts if necessary. + Parameters + ---------- + test : bool, optional + If True, runs in test mode with synthetic data, by default False Returns ------- @@ -609,7 +654,7 @@ def run_single_check(self) -> bool: True if check completed successfully, False otherwise """ self.logger.info("Kp Index check") - df = self.fetch_kp_data() + df = self.fetch_kp_data(test=test) if df is None: return False analysis = self.analyze_kp_data(df) @@ -708,7 +753,7 @@ def basic_html_format(self, message: str) -> str: h1 {{ color: #d9534f; font-size: 1.5rem; }} h2 {{ color: #5bc0de; margin-top: 30px; font-size: 1.25rem; }} h3 {{ color: #000000; font-size: 1.1rem; }} - .forecast-caption {{ font-size: 12px; color: #555; margin-top: 4px; }} + .forecast-caption {{ font-size: 16px; color: #444444; margin-top: 4px;}} small {{ font-size: 11px; color: #333; }} hr {{ border: 0; border-top: 1px solid #ddd; margin: 20px 0; }} @@ -756,24 +801,27 @@ def run_continuous_monitoring(self) -> None: def main( once: bool = typer.Option(False, "--once", help="Run single check and exit"), continuous: bool = typer.Option(False, "--continuous", help="Run continuous monitoring"), + test: bool = typer.Option(False, "--test", help="Run test mode with sample data"), ): """ Main function with command line interface. """ - selected = [flag for flag in (once, continuous) if flag] + selected = [flag for flag in (once, continuous, test) if flag] if len(selected) == 0: - raise typer.BadParameter("One of --once or --continuous must be specified") + raise typer.BadParameter("One of --once, --continuous, or --test must be specified") if len(selected) > 1: raise typer.BadParameter( - "Options --once and --continuous are mutually exclusive i.e., only one can be selected." + "Options --once, --continuous, and --test are mutually exclusive i.e., only one can be selected." ) config = MonitorConfig.from_yaml() - log_suffix = "once" if once else "continuous" + log_suffix = "once" if once else "continuous" if not test else "test" monitor = KpMonitor(config, log_suffix=log_suffix) if once: - monitor.run_single_check() + monitor.run_single_check(test=False) + elif test: + monitor.run_single_check(test=True) elif continuous: monitor.run_continuous_monitoring() From 86c1d6bc6fd5a0af96a83d2a5fa4529eedc75bcc Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 17 Feb 2026 21:26:28 +0100 Subject: [PATCH 13/21] Update kp_index_monitor.py - Updated a few UI tweaks - KeyError for np.float64(nan) - When there was no future forecast (all CSV times in the past), max_values.max() was NaN and DECIMAL_TO_KP[max] raised. The code now treats a NaN max as 0.0 and uses DECIMAL_TO_KP.get(max_kp, "N/A") for logging so a missing/max value never causes a crash. - Round() UserWarnings - high_kp_records.round(2) and next_24h.round(2) were applied to whole DataFrames that include datetimes. Rounding is now applied only to numeric columns via select_dtypes(include=[np.number]), so the datetime warning is gone. --- src/kp_index_monitor.py | 128 ++++++++++++---------------------------- 1 file changed, 39 insertions(+), 89 deletions(-) diff --git a/src/kp_index_monitor.py b/src/kp_index_monitor.py index 3f4d441..2d34350 100644 --- a/src/kp_index_monitor.py +++ b/src/kp_index_monitor.py @@ -94,13 +94,17 @@ class KpMonitor: for geomagnetic activity monitoring. """ - IMAGE_PATH = "./assets/kp_swift_ensemble_LAST.png" - IMAGE_PATH_SWPC = "./assets/kp_swift_ensemble_with_swpc_LAST.png" - CSV_PATH = "./assets/kp_product_file_SWIFT_LAST.csv" - VIDEO_PATH_AURORA = "./assets/aurora_forecast.mp4" + IMAGE_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_LAST.png" + IMAGE_PATH_SWPC = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_with_swpc_LAST.png" + CSV_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_product_file_SWIFT_LAST.csv" + VIDEO_PATH_AURORA = "/Users/infantronald/work/KP index/KpAlert/mock_files/aurora_forecast.mp4" # Caption for the forecast plot (SWPC + Min-Max) - FORECAST_IMAGE_CAPTION = "Bar colours indicate geomagnetic activity levels: green corresponds to quiet conditions (Kp < 3), yellow to moderate activity (3 < Kp ≤ 6), and red to high storm conditions (Kp > 6). The red dashed line shows the official NOAA SWPC Kp forecast. Error bars represent the minimum-maximum spread of forecast Kp values." + FORECAST_IMAGE_CAPTION = ( + "Caption: Kp index forecast: bar colours show activity level green being quiet, yellow being moderate storm, " + "red being high strom. For more information refer the table below. Red dashed line = SWPC (NOAA) official Kp forecast. " + "Error bars indicates the minimum-maximum spread of Kp values." + ) def __init__(self, config: MonitorConfig, log_suffix: str = "") -> None: self.last_alert_time = None @@ -152,7 +156,7 @@ def log_uncaught_exceptions(exc_type, exc_value, exc_traceback): logging.basicConfig( level=self.config.log_level, - format="[%(levelname)-8s] %(asctime)s - %(name)s:%(lineno)d - %(message)s", + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", handlers=[ logging.FileHandler( self.log_folder @@ -163,71 +167,29 @@ def log_uncaught_exceptions(exc_type, exc_value, exc_traceback): ) self.logger = logging.getLogger(__name__) - def fetch_kp_data(self, test: bool = False) -> Optional[pd.DataFrame]: + def fetch_kp_data(self) -> Optional[pd.DataFrame]: """ Fetch current Kp index forecast data from GFZ website. - Parameters - ---------- - test : bool, optional - If True, create a test DataFrame with synthetic data instead of reading from CSV, by default False Returns ------- pd.DataFrame or None DataFrame containing forecast data or None if fetch fails """ - if not test: - try: - df = pd.read_csv(self.CSV_PATH) - - df["Time (UTC)"] = pd.to_datetime(df["Time (UTC)"], format="%d-%m-%Y %H:%M", dayfirst=True, utc=True) - df.index = df["Time (UTC)"] - self.logger.info(f"Successfully fetched {len(df)} records") - return df - - except pd.errors.EmptyDataError: - self.logger.error("Received empty CSV file") - return None - except Exception as e: - self.logger.error(f"Unexpected error: {e}", exc_info=True) - return None - else: - self.logger.info("Running in test mode - generating synthetic Kp data") - return self.get_test_data() - - def round_to_step(self, x, step=0.33): - return np.round(x / step) * step - - def get_test_data(self) -> pd.DataFrame: - time_index = pd.date_range(start=self.current_utc_time, periods=10, freq="3h") - - data = {"Time (UTC)": time_index} - - kp_members = [] - - for i in range(20): - vals = np.round(np.random.choice(np.linspace(0, 9, 28), len(time_index)), 2) - data[f"kp_{i}"] = vals - kp_members.append(vals) - - kp_array = np.vstack(kp_members).T - - data["minimum"] = np.min(kp_array, axis=1) - data["0.25-quantile"] = np.quantile(kp_array, 0.25, axis=1) - data["median"] = np.median(kp_array, axis=1) - data["0.75-quantile"] = np.quantile(kp_array, 0.75, axis=1) - data["maximum"] = np.max(kp_array, axis=1) - - data["prob 4-5"] = np.mean((kp_array >= 4) & (kp_array < 5), axis=1) - data["prob 5-6"] = np.mean((kp_array >= 5) & (kp_array < 6), axis=1) - data["prob 6-7"] = np.mean((kp_array >= 6) & (kp_array < 7), axis=1) - data["prob 7-8"] = np.mean((kp_array >= 7) & (kp_array < 8), axis=1) - data["prob >= 8"] = np.mean(kp_array >= 8, axis=1) + try: + df = pd.read_csv(self.CSV_PATH) - df = pd.DataFrame(data) - df.index = df["Time (UTC)"] + df["Time (UTC)"] = pd.to_datetime(df["Time (UTC)"], format="%d-%m-%Y %H:%M", dayfirst=True, utc=True) + df.index = df["Time (UTC)"] + self.logger.info(f"Successfully fetched {len(df)} records") + return df - return df + except pd.errors.EmptyDataError: + self.logger.error("Received empty CSV file") + return None + except Exception as e: + self.logger.error(f"Unexpected error: {e}", exc_info=True) + return None def analyze_kp_data(self, df: pd.DataFrame) -> AnalysisResults: """ @@ -248,6 +210,7 @@ def analyze_kp_data(self, df: pd.DataFrame) -> AnalysisResults: self.logger.info(f"Current UTC Time: {self.current_utc_time}") max_values = df[df.index >= self.current_utc_time]["maximum"] max: float = np.round(max_values.max(), 2) + self.ensembles = [col for col in df.columns if re.match(r"kp_\d+", col)] self.total_ensembles = len(self.ensembles) probability = np.sum(df[self.ensembles] >= self.config.kp_alert_threshold, axis=1) / self.total_ensembles @@ -310,7 +273,7 @@ def _kp_html_table(self, record: pd.DataFrame, probabilities: pd.DataFrame) -> s time_idx = row["Time (UTC)"] prob = probabilities.loc[time_idx, "Probability"] - time_str = row["Time (UTC)"].tz_convert(CET).strftime("%Y-%m-%d %H:%M") + time_str = row["Time (UTC)"].tz_convert(CET).strftime("%d.%m.%Y %H:%M") prob_str = f"{prob * 100:.0f}%" activity_str = f'{level_min} - {level_max}' @@ -402,9 +365,7 @@ def create_message(self, analysis: AnalysisResults) -> str: max_kp_at_finite_time = np.round(max_values.max(), 2) - max_kp_at_finite_time_status, max_kp_at_finite_time_level, _ = self.get_status_level_color( - max_kp_at_finite_time - ) + max_kp_at_finite_time_status, max_kp_at_finite_time_level, _ = self.get_status_level_color(max_kp_at_finite_time) mask = probability_df["Probability"] >= 0.4 if mask.any(): start_time = probability_df.index[mask][0] @@ -434,9 +395,7 @@ def create_message(self, analysis: AnalysisResults) -> str: ) if observed_time != analysis.next_24h_forecast.index[0]: obs_utc = datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc) - obs_message_prefix = ( - f""" (Observed Kp data available up to {obs_utc.astimezone(CET).strftime("%H:%M CET %d.%m.%Y")})""" - ) + obs_message_prefix = f""" (Observed Kp data available up to {obs_utc.astimezone(CET).strftime("%H:%M CET %d.%m.%Y")})""" else: obs_message_prefix = "" @@ -450,17 +409,15 @@ def create_message(self, analysis: AnalysisResults) -> str: **Current Conditions:** {observed_status.replace("CONDITIONS", "")} {obs_message_prefix} +**Alert sent at:** {datetime.now(timezone.utc).astimezone(CET).strftime("%H:%M CET %d.%m.%Y ")} + ![Forecast Image](cid:forecast_image)

{self.FORECAST_IMAGE_CAPTION}

-## **ALERT SUMMARY** -- **Alert sent at:** {datetime.now(timezone.utc).astimezone(CET).strftime("%H:%M CET %d.%m.%Y ")} -- **{high_prob_value * 100:.0f}% Probability of {end_time_kp_max_status} ({max_kp_at_finite_time_level}) within next {prob_at_time} hours** - """ - # message += self._kp_html_table(high_records, probability_df) + #message += self._kp_html_table(high_records, probability_df) AURORA_KP = 7 high_records_above_threshold = high_records[ @@ -478,7 +435,7 @@ def create_message(self, analysis: AnalysisResults) -> str: Your browser does not support the video tag. -**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. Time indicated in UTC. +**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. """ @@ -638,15 +595,11 @@ def should_send_alert(self, analysis: AnalysisResults) -> bool: return True - def run_single_check(self, test: bool = False) -> bool: + def run_single_check(self) -> bool: """ Execute a single monitoring check cycle. Fetches Kp data, analyzes it, and sends alerts if necessary. - Parameters - ---------- - test : bool, optional - If True, runs in test mode with synthetic data, by default False Returns ------- @@ -654,7 +607,7 @@ def run_single_check(self, test: bool = False) -> bool: True if check completed successfully, False otherwise """ self.logger.info("Kp Index check") - df = self.fetch_kp_data(test=test) + df = self.fetch_kp_data() if df is None: return False analysis = self.analyze_kp_data(df) @@ -753,7 +706,7 @@ def basic_html_format(self, message: str) -> str: h1 {{ color: #d9534f; font-size: 1.5rem; }} h2 {{ color: #5bc0de; margin-top: 30px; font-size: 1.25rem; }} h3 {{ color: #000000; font-size: 1.1rem; }} - .forecast-caption {{ font-size: 16px; color: #444444; margin-top: 4px;}} + .forecast-caption {{ font-size: 12px; color: #555; margin-top: 4px; }} small {{ font-size: 11px; color: #333; }} hr {{ border: 0; border-top: 1px solid #ddd; margin: 20px 0; }} @@ -801,27 +754,24 @@ def run_continuous_monitoring(self) -> None: def main( once: bool = typer.Option(False, "--once", help="Run single check and exit"), continuous: bool = typer.Option(False, "--continuous", help="Run continuous monitoring"), - test: bool = typer.Option(False, "--test", help="Run test mode with sample data"), ): """ Main function with command line interface. """ - selected = [flag for flag in (once, continuous, test) if flag] + selected = [flag for flag in (once, continuous) if flag] if len(selected) == 0: - raise typer.BadParameter("One of --once, --continuous, or --test must be specified") + raise typer.BadParameter("One of --once or --continuous must be specified") if len(selected) > 1: raise typer.BadParameter( - "Options --once, --continuous, and --test are mutually exclusive i.e., only one can be selected." + "Options --once and --continuous are mutually exclusive i.e., only one can be selected." ) config = MonitorConfig.from_yaml() - log_suffix = "once" if once else "continuous" if not test else "test" + log_suffix = "once" if once else "continuous" monitor = KpMonitor(config, log_suffix=log_suffix) if once: - monitor.run_single_check(test=False) - elif test: - monitor.run_single_check(test=True) + monitor.run_single_check() elif continuous: monitor.run_continuous_monitoring() From 444f29d3fbef3d03c0429b9dfe18224218d22515 Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 17 Feb 2026 21:27:00 +0100 Subject: [PATCH 14/21] Update index.html New html --- index.html | 22 +++++++++------------- 1 file changed, 9 insertions(+), 13 deletions(-) diff --git a/index.html b/index.html index fb4c26c..efb75f1 100644 --- a/index.html +++ b/index.html @@ -11,31 +11,27 @@ h1 { color: #d9534f; font-size: 1.5rem; } h2 { color: #5bc0de; margin-top: 30px; font-size: 1.25rem; } h3 { color: #000000; font-size: 1.1rem; } - .forecast-caption { font-size: 16px; color: #444444; margin-top: 4px;} + .forecast-caption { font-size: 12px; color: #555; margin-top: 4px; } small { font-size: 11px; color: #333; } hr { border: 0; border-top: 1px solid #ddd; margin: 20px 0; } -

SPACE WEATHER ALERT - EXTREME STORM CONDITIONS (G5) with probability ≥ 40% predicted

+

SPACE WEATHER ALERT - STRONG STORM CONDITIONS (G3) with probability ≥ 20% predicted

-

From 11:56 (CET) 18.02.2026 to 17:56 (CET) 18.02.2026, space weather can reach EXTREME STORM CONDITIONS with Kp = 9 with probability ≥ 40%.

-

Current Conditions: QUIET (Observed Kp data available up to 13:00 CET 17.02.2026)

-

Forecast Image

-

Bar colours indicate geomagnetic activity levels: green corresponds to quiet conditions (Kp < 3), yellow to moderate activity (3 < Kp ≤ 6), and red to high storm conditions (Kp > 6). The red dashed line shows the official NOAA SWPC Kp forecast. Error bars represent the minimum-maximum spread of forecast Kp values.

+

At 01:00 (CET) 18.02.2026 , space weather can reach STRONG STORM CONDITIONS with Kp ≥ 8- with probability ≥ 20%.

+

Current Conditions: QUIET (Observed Kp data available up to 19:00 CET 17.02.2026)

+

Alert sent at: 21:01 CET 17.02.2026

+

Forecast Image

+

Caption: Kp index forecast: bar colours show activity level green being quiet, yellow being moderate storm, red being high strom. For more information refer the table below. Red dashed line = SWPC (NOAA) official Kp forecast. Error bars indicates the minimum-maximum spread of Kp values.

-

ALERT SUMMARY

-
    -
  • Alert sent at: 14:56 CET 17.02.2026
    • -
  • 40% Probability of EXTREME STORM CONDITIONS (G5) within next 24 hours
    • -

AURORA WATCH:

-

Note: Kp ≥ 7 indicate potential auroral activity at Berlin latitudes. Time indicated in UTC.

+

Note: Kp ≥ 7 indicate potential auroral activity at Berlin latitudes.

GEOMAGNETIC ACTIVITY SCALE

@@ -92,4 +88,4 @@

GEOMAGNETIC ACTIVITY SCALE

- \ No newline at end of file + From 7ab35fa7c4bffc16ec8349bcb50347827b578ecc Mon Sep 17 00:00:00 2001 From: Johnson IR Reagan Date: Tue, 17 Feb 2026 21:27:42 +0100 Subject: [PATCH 15/21] Update kp_product_file_SWIFT_LAST.csv Changed the mock data to trigger the alert --- assets/kp_product_file_SWIFT_LAST.csv | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/assets/kp_product_file_SWIFT_LAST.csv b/assets/kp_product_file_SWIFT_LAST.csv index e8230bd..6160998 100644 --- a/assets/kp_product_file_SWIFT_LAST.csv +++ b/assets/kp_product_file_SWIFT_LAST.csv @@ -4,12 +4,12 @@ Time (UTC),minimum,0.25-quantile,median,0.75-quantile,maximum,prob 4-5,prob 5-6, 10-02-2026 15:00,3.00,3.67,4.00,4.33,5.00,0.25,0.15,0.05,0.0,0.0,3.00,3.67,4.00,4.33,5.00,4.00,3.33,3.67,3.33,4.00 10-02-2026 18:00,3.33,4.00,4.33,4.67,5.33,0.30,0.20,0.10,0.0,0.0,3.33,4.00,4.33,4.67,5.33,4.33,3.67,4.00,3.67,4.33 10-02-2026 21:00,3.67,4.33,4.67,5.00,5.67,0.35,0.25,0.15,0.05,0.0,3.67,4.33,4.67,5.00,5.67,4.67,4.00,4.33,4.00,4.67 -11-02-2026 00:00,4.00,4.67,5.00,5.33,6.00,0.40,0.30,0.20,0.10,0.0,4.00,4.67,5.00,5.33,6.00,5.00,4.33,4.67,4.33,5.00 +11-02-2026 00:00,4.00,4.67,5.00,7.33,6.00,0.40,0.30,0.20,0.10,0.0,4.00,4.67,5.00,5.33,6.00,5.00,4.33,4.67,4.33,5.00 11-02-2026 03:00,3.67,4.33,4.67,5.00,5.67,0.35,0.25,0.15,0.05,0.0,3.67,4.33,4.67,5.00,5.67,4.67,4.00,4.33,4.00,4.67 11-02-2026 06:00,3.33,4.00,4.33,4.67,5.33,0.30,0.20,0.10,0.0,0.0,3.33,4.00,4.33,4.67,5.33,4.33,3.67,4.00,3.67,4.33 11-02-2026 09:00,3.00,3.67,4.00,4.33,5.00,0.25,0.15,0.05,0.0,0.0,3.00,3.67,4.00,4.33,5.00,4.00,3.33,3.67,3.33,4.00 11-02-2026 12:00,2.67,3.33,3.67,4.00,4.67,0.20,0.10,0.0,0.0,0.0,2.67,3.33,3.67,4.00,4.67,3.67,3.00,3.33,3.00,3.67 -11-02-2026 15:00,2.33,3.00,3.33,3.67,4.33,0.15,0.05,0.0,0.0,0.0,2.33,3.00,3.33,3.67,4.33,3.33,2.67,3.00,2.67,3.33 +11-02-2026 15:00,2.33,7.00,7.33,7.67,7.33,0.15,0.05,0.0,0.0,0.0,2.33,3.00,3.33,3.67,4.33,3.33,2.67,3.00,2.67,3.33 11-02-2026 18:00,2.00,2.67,3.00,3.33,4.00,0.10,0.0,0.0,0.0,0.0,2.00,2.67,3.00,3.33,4.00,3.00,2.33,2.67,2.33,3.00 11-02-2026 21:00,1.67,2.33,2.67,3.00,3.67,0.05,0.0,0.0,0.0,0.0,1.67,2.33,2.67,3.00,3.67,2.67,2.00,2.33,2.00,2.67 12-02-2026 00:00,1.33,2.00,2.33,2.67,3.33,0.0,0.0,0.0,0.0,0.0,1.33,2.00,2.33,2.67,3.33,2.33,1.67,2.00,1.67,2.33 @@ -18,10 +18,15 @@ Time (UTC),minimum,0.25-quantile,median,0.75-quantile,maximum,prob 4-5,prob 5-6, 12-02-2026 09:00,0.33,1.00,1.33,1.67,2.33,0.0,0.0,0.0,0.0,0.0,0.33,1.00,1.33,1.67,2.33,1.33,0.67,1.00,0.67,1.33 12-02-2026 12:00,0.00,0.67,1.00,1.33,2.00,0.0,0.0,0.0,0.0,0.0,0.00,0.67,1.00,1.33,2.00,1.00,0.33,0.67,0.33,1.00 12-02-2026 15:00,0.67,1.33,1.67,2.00,2.67,0.0,0.0,0.0,0.0,0.0,0.67,1.33,1.67,2.00,2.67,1.67,1.00,1.33,1.00,1.67 -12-02-2026 18:00,1.33,2.00,2.33,2.67,3.33,0.0,0.0,0.0,0.0,0.0,1.33,2.00,2.33,2.67,3.33,2.33,1.67,2.00,1.67,2.33 +12-02-2026 18:00,1.33,2.00,2.33,7.67,3.33,0.0,0.0,0.0,0.0,0.0,1.33,2.00,2.33,2.67,3.33,2.33,1.67,2.00,1.67,2.33 12-02-2026 21:00,2.00,2.67,3.00,3.33,4.00,0.10,0.0,0.0,0.0,0.0,2.00,2.67,3.00,3.33,4.00,3.00,2.33,2.67,2.33,3.00 13-02-2026 00:00,2.67,3.33,3.67,4.00,4.67,0.20,0.10,0.0,0.0,0.0,2.67,3.33,3.67,4.00,4.67,3.67,3.00,3.33,3.00,3.67 -13-02-2026 03:00,3.33,4.00,4.33,4.67,5.33,0.30,0.20,0.10,0.0,0.0,3.33,4.00,4.33,4.67,5.33,4.33,3.67,4.00,3.67,4.33 +13-02-2026 03:00,3.33,4.00,4.33,8.67,5.33,0.30,0.20,0.10,0.0,0.0,3.33,4.00,4.33,4.67,5.33,4.33,3.67,4.00,3.67,4.33 13-02-2026 06:00,4.00,4.67,5.00,5.33,6.00,0.40,0.30,0.20,0.10,0.0,4.00,4.67,5.00,5.33,6.00,5.00,4.33,4.67,4.33,5.00 13-02-2026 09:00,4.67,5.33,5.67,6.00,6.67,0.50,0.40,0.30,0.20,0.05,4.67,5.33,5.67,6.00,6.67,5.67,5.00,5.33,5.00,5.67 13-02-2026 12:00,5.33,6.00,6.33,6.67,7.33,0.60,0.50,0.40,0.30,0.15,5.33,6.00,6.33,6.67,7.33,6.33,5.67,6.00,5.67,6.33 +17-02-2026 21:00,5.00,5.67,6.00,6.33,7.00,0.55,0.45,0.35,0.25,0.10,5.00,5.67,6.00,6.33,7.00,5.67,5.33,5.67,5.33,6.00 +18-02-2026 00:00,6.00,6.67,7.00,7.33,7.67,0.65,0.55,0.45,0.35,0.20,6.00,6.67,7.00,7.33,7.67,6.33,6.00,6.33,6.00,6.67 +18-02-2026 03:00,5.67,6.33,6.67,7.00,7.33,0.60,0.50,0.40,0.30,0.15,5.67,6.33,6.67,7.00,7.33,6.00,5.67,6.00,5.67,6.33 +18-02-2026 06:00,5.33,6.00,6.33,6.67,7.00,0.55,0.45,0.35,0.25,0.10,5.33,6.00,6.33,6.67,7.00,5.67,5.33,5.67,5.33,6.00 +18-02-2026 09:00,4.67,5.33,5.67,6.00,6.67,0.50,0.40,0.30,0.20,0.05,4.67,5.33,5.67,6.00,6.67,5.00,4.67,5.00,4.67,5.33 From ddc7593edc24fb109b22ed35dc4d90f013ff1aff Mon Sep 17 00:00:00 2001 From: Sahil Jhawar Date: Wed, 18 Feb 2026 13:22:03 +0100 Subject: [PATCH 16/21] Revert "Update kp_product_file_SWIFT_LAST.csv" This reverts commit 7ab35fa7c4bffc16ec8349bcb50347827b578ecc. --- assets/kp_product_file_SWIFT_LAST.csv | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/assets/kp_product_file_SWIFT_LAST.csv b/assets/kp_product_file_SWIFT_LAST.csv index 6160998..e8230bd 100644 --- a/assets/kp_product_file_SWIFT_LAST.csv +++ b/assets/kp_product_file_SWIFT_LAST.csv @@ -4,12 +4,12 @@ Time (UTC),minimum,0.25-quantile,median,0.75-quantile,maximum,prob 4-5,prob 5-6, 10-02-2026 15:00,3.00,3.67,4.00,4.33,5.00,0.25,0.15,0.05,0.0,0.0,3.00,3.67,4.00,4.33,5.00,4.00,3.33,3.67,3.33,4.00 10-02-2026 18:00,3.33,4.00,4.33,4.67,5.33,0.30,0.20,0.10,0.0,0.0,3.33,4.00,4.33,4.67,5.33,4.33,3.67,4.00,3.67,4.33 10-02-2026 21:00,3.67,4.33,4.67,5.00,5.67,0.35,0.25,0.15,0.05,0.0,3.67,4.33,4.67,5.00,5.67,4.67,4.00,4.33,4.00,4.67 -11-02-2026 00:00,4.00,4.67,5.00,7.33,6.00,0.40,0.30,0.20,0.10,0.0,4.00,4.67,5.00,5.33,6.00,5.00,4.33,4.67,4.33,5.00 +11-02-2026 00:00,4.00,4.67,5.00,5.33,6.00,0.40,0.30,0.20,0.10,0.0,4.00,4.67,5.00,5.33,6.00,5.00,4.33,4.67,4.33,5.00 11-02-2026 03:00,3.67,4.33,4.67,5.00,5.67,0.35,0.25,0.15,0.05,0.0,3.67,4.33,4.67,5.00,5.67,4.67,4.00,4.33,4.00,4.67 11-02-2026 06:00,3.33,4.00,4.33,4.67,5.33,0.30,0.20,0.10,0.0,0.0,3.33,4.00,4.33,4.67,5.33,4.33,3.67,4.00,3.67,4.33 11-02-2026 09:00,3.00,3.67,4.00,4.33,5.00,0.25,0.15,0.05,0.0,0.0,3.00,3.67,4.00,4.33,5.00,4.00,3.33,3.67,3.33,4.00 11-02-2026 12:00,2.67,3.33,3.67,4.00,4.67,0.20,0.10,0.0,0.0,0.0,2.67,3.33,3.67,4.00,4.67,3.67,3.00,3.33,3.00,3.67 -11-02-2026 15:00,2.33,7.00,7.33,7.67,7.33,0.15,0.05,0.0,0.0,0.0,2.33,3.00,3.33,3.67,4.33,3.33,2.67,3.00,2.67,3.33 +11-02-2026 15:00,2.33,3.00,3.33,3.67,4.33,0.15,0.05,0.0,0.0,0.0,2.33,3.00,3.33,3.67,4.33,3.33,2.67,3.00,2.67,3.33 11-02-2026 18:00,2.00,2.67,3.00,3.33,4.00,0.10,0.0,0.0,0.0,0.0,2.00,2.67,3.00,3.33,4.00,3.00,2.33,2.67,2.33,3.00 11-02-2026 21:00,1.67,2.33,2.67,3.00,3.67,0.05,0.0,0.0,0.0,0.0,1.67,2.33,2.67,3.00,3.67,2.67,2.00,2.33,2.00,2.67 12-02-2026 00:00,1.33,2.00,2.33,2.67,3.33,0.0,0.0,0.0,0.0,0.0,1.33,2.00,2.33,2.67,3.33,2.33,1.67,2.00,1.67,2.33 @@ -18,15 +18,10 @@ Time (UTC),minimum,0.25-quantile,median,0.75-quantile,maximum,prob 4-5,prob 5-6, 12-02-2026 09:00,0.33,1.00,1.33,1.67,2.33,0.0,0.0,0.0,0.0,0.0,0.33,1.00,1.33,1.67,2.33,1.33,0.67,1.00,0.67,1.33 12-02-2026 12:00,0.00,0.67,1.00,1.33,2.00,0.0,0.0,0.0,0.0,0.0,0.00,0.67,1.00,1.33,2.00,1.00,0.33,0.67,0.33,1.00 12-02-2026 15:00,0.67,1.33,1.67,2.00,2.67,0.0,0.0,0.0,0.0,0.0,0.67,1.33,1.67,2.00,2.67,1.67,1.00,1.33,1.00,1.67 -12-02-2026 18:00,1.33,2.00,2.33,7.67,3.33,0.0,0.0,0.0,0.0,0.0,1.33,2.00,2.33,2.67,3.33,2.33,1.67,2.00,1.67,2.33 +12-02-2026 18:00,1.33,2.00,2.33,2.67,3.33,0.0,0.0,0.0,0.0,0.0,1.33,2.00,2.33,2.67,3.33,2.33,1.67,2.00,1.67,2.33 12-02-2026 21:00,2.00,2.67,3.00,3.33,4.00,0.10,0.0,0.0,0.0,0.0,2.00,2.67,3.00,3.33,4.00,3.00,2.33,2.67,2.33,3.00 13-02-2026 00:00,2.67,3.33,3.67,4.00,4.67,0.20,0.10,0.0,0.0,0.0,2.67,3.33,3.67,4.00,4.67,3.67,3.00,3.33,3.00,3.67 -13-02-2026 03:00,3.33,4.00,4.33,8.67,5.33,0.30,0.20,0.10,0.0,0.0,3.33,4.00,4.33,4.67,5.33,4.33,3.67,4.00,3.67,4.33 +13-02-2026 03:00,3.33,4.00,4.33,4.67,5.33,0.30,0.20,0.10,0.0,0.0,3.33,4.00,4.33,4.67,5.33,4.33,3.67,4.00,3.67,4.33 13-02-2026 06:00,4.00,4.67,5.00,5.33,6.00,0.40,0.30,0.20,0.10,0.0,4.00,4.67,5.00,5.33,6.00,5.00,4.33,4.67,4.33,5.00 13-02-2026 09:00,4.67,5.33,5.67,6.00,6.67,0.50,0.40,0.30,0.20,0.05,4.67,5.33,5.67,6.00,6.67,5.67,5.00,5.33,5.00,5.67 13-02-2026 12:00,5.33,6.00,6.33,6.67,7.33,0.60,0.50,0.40,0.30,0.15,5.33,6.00,6.33,6.67,7.33,6.33,5.67,6.00,5.67,6.33 -17-02-2026 21:00,5.00,5.67,6.00,6.33,7.00,0.55,0.45,0.35,0.25,0.10,5.00,5.67,6.00,6.33,7.00,5.67,5.33,5.67,5.33,6.00 -18-02-2026 00:00,6.00,6.67,7.00,7.33,7.67,0.65,0.55,0.45,0.35,0.20,6.00,6.67,7.00,7.33,7.67,6.33,6.00,6.33,6.00,6.67 -18-02-2026 03:00,5.67,6.33,6.67,7.00,7.33,0.60,0.50,0.40,0.30,0.15,5.67,6.33,6.67,7.00,7.33,6.00,5.67,6.00,5.67,6.33 -18-02-2026 06:00,5.33,6.00,6.33,6.67,7.00,0.55,0.45,0.35,0.25,0.10,5.33,6.00,6.33,6.67,7.00,5.67,5.33,5.67,5.33,6.00 -18-02-2026 09:00,4.67,5.33,5.67,6.00,6.67,0.50,0.40,0.30,0.20,0.05,4.67,5.33,5.67,6.00,6.67,5.00,4.67,5.00,4.67,5.33 From 2ce350674a42e4b1c959bbb2b3ee7de378b54acc Mon Sep 17 00:00:00 2001 From: Sahil Jhawar Date: Wed, 18 Feb 2026 13:22:11 +0100 Subject: [PATCH 17/21] Revert "Update index.html" This reverts commit 444f29d3fbef3d03c0429b9dfe18224218d22515. --- index.html | 22 +++++++++++++--------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/index.html b/index.html index efb75f1..fb4c26c 100644 --- a/index.html +++ b/index.html @@ -11,27 +11,31 @@ h1 { color: #d9534f; font-size: 1.5rem; } h2 { color: #5bc0de; margin-top: 30px; font-size: 1.25rem; } h3 { color: #000000; font-size: 1.1rem; } - .forecast-caption { font-size: 12px; color: #555; margin-top: 4px; } + .forecast-caption { font-size: 16px; color: #444444; margin-top: 4px;} small { font-size: 11px; color: #333; } hr { border: 0; border-top: 1px solid #ddd; margin: 20px 0; } -

SPACE WEATHER ALERT - STRONG STORM CONDITIONS (G3) with probability ≥ 20% predicted

+

SPACE WEATHER ALERT - EXTREME STORM CONDITIONS (G5) with probability ≥ 40% predicted

-

At 01:00 (CET) 18.02.2026 , space weather can reach STRONG STORM CONDITIONS with Kp ≥ 8- with probability ≥ 20%.

-

Current Conditions: QUIET (Observed Kp data available up to 19:00 CET 17.02.2026)

-

Alert sent at: 21:01 CET 17.02.2026

-

Forecast Image

-

Caption: Kp index forecast: bar colours show activity level green being quiet, yellow being moderate storm, red being high strom. For more information refer the table below. Red dashed line = SWPC (NOAA) official Kp forecast. Error bars indicates the minimum-maximum spread of Kp values.

+

From 11:56 (CET) 18.02.2026 to 17:56 (CET) 18.02.2026, space weather can reach EXTREME STORM CONDITIONS with Kp = 9 with probability ≥ 40%.

+

Current Conditions: QUIET (Observed Kp data available up to 13:00 CET 17.02.2026)

+

Forecast Image

+

Bar colours indicate geomagnetic activity levels: green corresponds to quiet conditions (Kp < 3), yellow to moderate activity (3 < Kp ≤ 6), and red to high storm conditions (Kp > 6). The red dashed line shows the official NOAA SWPC Kp forecast. Error bars represent the minimum-maximum spread of forecast Kp values.

+

ALERT SUMMARY

+
    +
  • Alert sent at: 14:56 CET 17.02.2026
    • +
  • 40% Probability of EXTREME STORM CONDITIONS (G5) within next 24 hours
    • +

AURORA WATCH:

-

Note: Kp ≥ 7 indicate potential auroral activity at Berlin latitudes.

+

Note: Kp ≥ 7 indicate potential auroral activity at Berlin latitudes. Time indicated in UTC.

GEOMAGNETIC ACTIVITY SCALE

@@ -88,4 +92,4 @@

GEOMAGNETIC ACTIVITY SCALE

- + \ No newline at end of file From 9d0214e4a514016a13c1898844c9f9b83971afad Mon Sep 17 00:00:00 2001 From: Sahil Jhawar Date: Wed, 18 Feb 2026 13:22:14 +0100 Subject: [PATCH 18/21] Revert "Update kp_index_monitor.py" This reverts commit 86c1d6bc6fd5a0af96a83d2a5fa4529eedc75bcc. --- src/kp_index_monitor.py | 128 ++++++++++++++++++++++++++++------------ 1 file changed, 89 insertions(+), 39 deletions(-) diff --git a/src/kp_index_monitor.py b/src/kp_index_monitor.py index 2d34350..3f4d441 100644 --- a/src/kp_index_monitor.py +++ b/src/kp_index_monitor.py @@ -94,17 +94,13 @@ class KpMonitor: for geomagnetic activity monitoring. """ - IMAGE_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_LAST.png" - IMAGE_PATH_SWPC = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_swift_ensemble_with_swpc_LAST.png" - CSV_PATH = "/Users/infantronald/work/KP index/KpAlert/mock_files/kp_product_file_SWIFT_LAST.csv" - VIDEO_PATH_AURORA = "/Users/infantronald/work/KP index/KpAlert/mock_files/aurora_forecast.mp4" + IMAGE_PATH = "./assets/kp_swift_ensemble_LAST.png" + IMAGE_PATH_SWPC = "./assets/kp_swift_ensemble_with_swpc_LAST.png" + CSV_PATH = "./assets/kp_product_file_SWIFT_LAST.csv" + VIDEO_PATH_AURORA = "./assets/aurora_forecast.mp4" # Caption for the forecast plot (SWPC + Min-Max) - FORECAST_IMAGE_CAPTION = ( - "Caption: Kp index forecast: bar colours show activity level green being quiet, yellow being moderate storm, " - "red being high strom. For more information refer the table below. Red dashed line = SWPC (NOAA) official Kp forecast. " - "Error bars indicates the minimum-maximum spread of Kp values." - ) + FORECAST_IMAGE_CAPTION = "Bar colours indicate geomagnetic activity levels: green corresponds to quiet conditions (Kp < 3), yellow to moderate activity (3 < Kp ≤ 6), and red to high storm conditions (Kp > 6). The red dashed line shows the official NOAA SWPC Kp forecast. Error bars represent the minimum-maximum spread of forecast Kp values." def __init__(self, config: MonitorConfig, log_suffix: str = "") -> None: self.last_alert_time = None @@ -156,7 +152,7 @@ def log_uncaught_exceptions(exc_type, exc_value, exc_traceback): logging.basicConfig( level=self.config.log_level, - format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + format="[%(levelname)-8s] %(asctime)s - %(name)s:%(lineno)d - %(message)s", handlers=[ logging.FileHandler( self.log_folder @@ -167,29 +163,71 @@ def log_uncaught_exceptions(exc_type, exc_value, exc_traceback): ) self.logger = logging.getLogger(__name__) - def fetch_kp_data(self) -> Optional[pd.DataFrame]: + def fetch_kp_data(self, test: bool = False) -> Optional[pd.DataFrame]: """ Fetch current Kp index forecast data from GFZ website. + Parameters + ---------- + test : bool, optional + If True, create a test DataFrame with synthetic data instead of reading from CSV, by default False Returns ------- pd.DataFrame or None DataFrame containing forecast data or None if fetch fails """ - try: - df = pd.read_csv(self.CSV_PATH) + if not test: + try: + df = pd.read_csv(self.CSV_PATH) - df["Time (UTC)"] = pd.to_datetime(df["Time (UTC)"], format="%d-%m-%Y %H:%M", dayfirst=True, utc=True) - df.index = df["Time (UTC)"] - self.logger.info(f"Successfully fetched {len(df)} records") - return df + df["Time (UTC)"] = pd.to_datetime(df["Time (UTC)"], format="%d-%m-%Y %H:%M", dayfirst=True, utc=True) + df.index = df["Time (UTC)"] + self.logger.info(f"Successfully fetched {len(df)} records") + return df - except pd.errors.EmptyDataError: - self.logger.error("Received empty CSV file") - return None - except Exception as e: - self.logger.error(f"Unexpected error: {e}", exc_info=True) - return None + except pd.errors.EmptyDataError: + self.logger.error("Received empty CSV file") + return None + except Exception as e: + self.logger.error(f"Unexpected error: {e}", exc_info=True) + return None + else: + self.logger.info("Running in test mode - generating synthetic Kp data") + return self.get_test_data() + + def round_to_step(self, x, step=0.33): + return np.round(x / step) * step + + def get_test_data(self) -> pd.DataFrame: + time_index = pd.date_range(start=self.current_utc_time, periods=10, freq="3h") + + data = {"Time (UTC)": time_index} + + kp_members = [] + + for i in range(20): + vals = np.round(np.random.choice(np.linspace(0, 9, 28), len(time_index)), 2) + data[f"kp_{i}"] = vals + kp_members.append(vals) + + kp_array = np.vstack(kp_members).T + + data["minimum"] = np.min(kp_array, axis=1) + data["0.25-quantile"] = np.quantile(kp_array, 0.25, axis=1) + data["median"] = np.median(kp_array, axis=1) + data["0.75-quantile"] = np.quantile(kp_array, 0.75, axis=1) + data["maximum"] = np.max(kp_array, axis=1) + + data["prob 4-5"] = np.mean((kp_array >= 4) & (kp_array < 5), axis=1) + data["prob 5-6"] = np.mean((kp_array >= 5) & (kp_array < 6), axis=1) + data["prob 6-7"] = np.mean((kp_array >= 6) & (kp_array < 7), axis=1) + data["prob 7-8"] = np.mean((kp_array >= 7) & (kp_array < 8), axis=1) + data["prob >= 8"] = np.mean(kp_array >= 8, axis=1) + + df = pd.DataFrame(data) + df.index = df["Time (UTC)"] + + return df def analyze_kp_data(self, df: pd.DataFrame) -> AnalysisResults: """ @@ -210,7 +248,6 @@ def analyze_kp_data(self, df: pd.DataFrame) -> AnalysisResults: self.logger.info(f"Current UTC Time: {self.current_utc_time}") max_values = df[df.index >= self.current_utc_time]["maximum"] max: float = np.round(max_values.max(), 2) - self.ensembles = [col for col in df.columns if re.match(r"kp_\d+", col)] self.total_ensembles = len(self.ensembles) probability = np.sum(df[self.ensembles] >= self.config.kp_alert_threshold, axis=1) / self.total_ensembles @@ -273,7 +310,7 @@ def _kp_html_table(self, record: pd.DataFrame, probabilities: pd.DataFrame) -> s time_idx = row["Time (UTC)"] prob = probabilities.loc[time_idx, "Probability"] - time_str = row["Time (UTC)"].tz_convert(CET).strftime("%d.%m.%Y %H:%M") + time_str = row["Time (UTC)"].tz_convert(CET).strftime("%Y-%m-%d %H:%M") prob_str = f"{prob * 100:.0f}%" activity_str = f'{level_min} - {level_max}' @@ -365,7 +402,9 @@ def create_message(self, analysis: AnalysisResults) -> str: max_kp_at_finite_time = np.round(max_values.max(), 2) - max_kp_at_finite_time_status, max_kp_at_finite_time_level, _ = self.get_status_level_color(max_kp_at_finite_time) + max_kp_at_finite_time_status, max_kp_at_finite_time_level, _ = self.get_status_level_color( + max_kp_at_finite_time + ) mask = probability_df["Probability"] >= 0.4 if mask.any(): start_time = probability_df.index[mask][0] @@ -395,7 +434,9 @@ def create_message(self, analysis: AnalysisResults) -> str: ) if observed_time != analysis.next_24h_forecast.index[0]: obs_utc = datetime.strptime(observed_time.strip(), "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc) - obs_message_prefix = f""" (Observed Kp data available up to {obs_utc.astimezone(CET).strftime("%H:%M CET %d.%m.%Y")})""" + obs_message_prefix = ( + f""" (Observed Kp data available up to {obs_utc.astimezone(CET).strftime("%H:%M CET %d.%m.%Y")})""" + ) else: obs_message_prefix = "" @@ -409,15 +450,17 @@ def create_message(self, analysis: AnalysisResults) -> str: **Current Conditions:** {observed_status.replace("CONDITIONS", "")} {obs_message_prefix} -**Alert sent at:** {datetime.now(timezone.utc).astimezone(CET).strftime("%H:%M CET %d.%m.%Y ")} - ![Forecast Image](cid:forecast_image)

{self.FORECAST_IMAGE_CAPTION}

+## **ALERT SUMMARY** +- **Alert sent at:** {datetime.now(timezone.utc).astimezone(CET).strftime("%H:%M CET %d.%m.%Y ")} +- **{high_prob_value * 100:.0f}% Probability of {end_time_kp_max_status} ({max_kp_at_finite_time_level}) within next {prob_at_time} hours** + """ - #message += self._kp_html_table(high_records, probability_df) + # message += self._kp_html_table(high_records, probability_df) AURORA_KP = 7 high_records_above_threshold = high_records[ @@ -435,7 +478,7 @@ def create_message(self, analysis: AnalysisResults) -> str: Your browser does not support the video tag. -**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. +**Note:** Kp ≥ {DECIMAL_TO_KP[AURORA_KP]} indicate potential auroral activity at Berlin latitudes. Time indicated in UTC. """ @@ -595,11 +638,15 @@ def should_send_alert(self, analysis: AnalysisResults) -> bool: return True - def run_single_check(self) -> bool: + def run_single_check(self, test: bool = False) -> bool: """ Execute a single monitoring check cycle. Fetches Kp data, analyzes it, and sends alerts if necessary. + Parameters + ---------- + test : bool, optional + If True, runs in test mode with synthetic data, by default False Returns ------- @@ -607,7 +654,7 @@ def run_single_check(self) -> bool: True if check completed successfully, False otherwise """ self.logger.info("Kp Index check") - df = self.fetch_kp_data() + df = self.fetch_kp_data(test=test) if df is None: return False analysis = self.analyze_kp_data(df) @@ -706,7 +753,7 @@ def basic_html_format(self, message: str) -> str: h1 {{ color: #d9534f; font-size: 1.5rem; }} h2 {{ color: #5bc0de; margin-top: 30px; font-size: 1.25rem; }} h3 {{ color: #000000; font-size: 1.1rem; }} - .forecast-caption {{ font-size: 12px; color: #555; margin-top: 4px; }} + .forecast-caption {{ font-size: 16px; color: #444444; margin-top: 4px;}} small {{ font-size: 11px; color: #333; }} hr {{ border: 0; border-top: 1px solid #ddd; margin: 20px 0; }} @@ -754,24 +801,27 @@ def run_continuous_monitoring(self) -> None: def main( once: bool = typer.Option(False, "--once", help="Run single check and exit"), continuous: bool = typer.Option(False, "--continuous", help="Run continuous monitoring"), + test: bool = typer.Option(False, "--test", help="Run test mode with sample data"), ): """ Main function with command line interface. """ - selected = [flag for flag in (once, continuous) if flag] + selected = [flag for flag in (once, continuous, test) if flag] if len(selected) == 0: - raise typer.BadParameter("One of --once or --continuous must be specified") + raise typer.BadParameter("One of --once, --continuous, or --test must be specified") if len(selected) > 1: raise typer.BadParameter( - "Options --once and --continuous are mutually exclusive i.e., only one can be selected." + "Options --once, --continuous, and --test are mutually exclusive i.e., only one can be selected." ) config = MonitorConfig.from_yaml() - log_suffix = "once" if once else "continuous" + log_suffix = "once" if once else "continuous" if not test else "test" monitor = KpMonitor(config, log_suffix=log_suffix) if once: - monitor.run_single_check() + monitor.run_single_check(test=False) + elif test: + monitor.run_single_check(test=True) elif continuous: monitor.run_continuous_monitoring() From e53d358c09bfc17e18eb81c154b660979556c6ea Mon Sep 17 00:00:00 2001 From: Sahil Jhawar Date: Fri, 20 Feb 2026 15:00:45 +0100 Subject: [PATCH 19/21] add temp file --- temp | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 temp diff --git a/temp b/temp new file mode 100644 index 0000000..e69de29 From 4037b3fdbbda61b1ccdccd675fad95e480216f21 Mon Sep 17 00:00:00 2001 From: Sahil Jhawar Date: Fri, 20 Feb 2026 15:08:28 +0100 Subject: [PATCH 20/21] remove temp file --- aurora_forecast.mp4 | Bin 0 -> 417653 bytes kp_swift_ensemble_with_swpc_LAST.png | Bin 0 -> 53085 bytes 2 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 aurora_forecast.mp4 create mode 100644 kp_swift_ensemble_with_swpc_LAST.png diff --git a/aurora_forecast.mp4 b/aurora_forecast.mp4 new file mode 100644 index 0000000000000000000000000000000000000000..e2c48952930b8bd18f24250fa0dad44b43c6fe94 GIT binary patch literal 417653 zcmYJZW0)vCur4~bZEKBf+qP}n<{D#-ZQHhO+qQA%+xwhze{@nQB~|HupFEuc001B` zb@s5gaI&)j0008`um61*4P1>FZ0wmC0000WOdU;30Kl}gY>W+@e|4(BK!1M9Hbu_5 zj@QInlBrh-)`+if+!>N!97=B4dCVCDQ0z(566J~n)Ux7I7uL7NnyoeYL zGl77r(66SkiP5h>$j;uw+QihEfRUb_iH4D$k@1&l?(A&ONk`}A=0@vkVQgY&ZD31l z=V(Uv-z>D|&NkM+I(GKX7IwByoCHP&h6YAF3_YxLU?*jTum z80-D#k>S@u&(Xlv%!G%5mB7f{(ay#|@7I)pz}eBn+SaIn|2Gc|QGapqwra5i`RHTd8bTs%+$JEil#>DA2S%!M{9>27OF%RP}ZD4F*|6de_ zdWIGTPXA3};b`(dak-gTn3+2p{>tp^O>Fhd?CgJ~|I4)hHMKJF`1Q@h$U^^rNIe@1 z+h4wuk%_H|k;`w8^#85W(cr&~I+{3{|5`g5>HWWG|C2i!@fbOp64)62ruDz5eg`~^ zOtka_4*$i%Lr=^4OWObE_kVf=cOF)bUxt&jiT!U5E$n~y==Xj2-NIjA1`fa5|KDZ; 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z>?jo#A*fH&yZ5IGC6-7V5|nEeQJr9v;+a9%yvDu1ug2_$%TEWsw&$U@wV&KnvOUk28x)ylKm*R zZ~PN!63G%L*I&S;ZD^Q>@3?{*WL&%BvFX@bLn4h3HD992Bzc%h1jHOHSwX0xSnNZV qK-or!&-hsWfQDMW|Jd?sYSwGjgpE0upTD86Snjeh&;8=txc>mz2mWLL literal 0 HcmV?d00001 From ee2349edf1b365970e5d9519b4fca05312b71d6b Mon Sep 17 00:00:00 2001 From: Sahil Jhawar Date: Fri, 20 Feb 2026 15:09:23 +0100 Subject: [PATCH 21/21] remove temp file --- temp | 0 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 temp diff --git a/temp b/temp deleted file mode 100644 index e69de29..0000000