Merge pull request #405 from mcguirepr89/daily_new_species_notifier

Daily new species notifier
2022-06-25 16:11:13 -04:00
parent a0ec7c2d3c e19e22f32e
commit a601de3705
15 changed files with 499 additions and 164 deletions
@@ -7,3 +7,14 @@ birdnet.conf
 IdentifiedSoFar.txt
 IdentifiedSoFar.txt.bak
 Birders_Guide_Installer_Configuration.txt
+birdnet/
+templates/*.service
+scripts/*.txt
+scripts/birds.db
+analyzing_now.txt
+apprise.txt
+BirdDB.txt
+exclude_species_list.txt
+firstrun.ini
+HUMAN.txt
+include_species_list.txt
@@ -116,7 +116,7 @@ if(isset($_GET['view'])){
          <button type=\"submit\" name=\"view\" value=\"System Controls\" form=\"views\">System Controls".$updatediv."</button>
          <button type=\"submit\" name=\"view\" value=\"Services\" form=\"views\">Services</button>
          <button type=\"submit\" name=\"view\" value=\"File\" form=\"views\">File Manager</button>
-          <a href=\"scripts/adminer.php\" target=\"_top\"><button type=\"submit\" form=\"\">Database Maintenance</button></a>
+          <a href=\"scripts/adminer.php\" target=\"_blank\"><button type=\"submit\" form=\"\">Database Maintenance</button></a>
          <button type=\"submit\" name=\"view\" value=\"Webterm\" form=\"views\">Web Terminal</button>
          <button type=\"submit\" name=\"view\" value=\"Included\" form=\"views\">Custom Species List</button>
          <button type=\"submit\" name=\"view\" value=\"Excluded\" form=\"views\">Excluded Species List</button>
@@ -12,3 +12,5 @@ streamlit
 plotly
 apprise
 paho-mqtt
+pytest==7.1.2
+pytest-mock==3.7.0
@@ -41,6 +41,11 @@ if(isset($_GET["latitude"])){
  } else {
    $apprise_notify_new_species = 0;
  }
+  if(isset($_GET['apprise_notify_new_species_each_day'])) {
+    $apprise_notify_new_species_each_day = 1;
+  } else {
+    $apprise_notify_new_species_each_day = 0;
+  }

  if(isset($timezone)) {
    shell_exec("sudo timedatectl set-timezone ".$timezone);
@@ -92,9 +97,10 @@ if(isset($_GET["latitude"])){
  $contents = preg_replace("/LONGITUDE=.*/", "LONGITUDE=$longitude", $contents);
  $contents = preg_replace("/BIRDWEATHER_ID=.*/", "BIRDWEATHER_ID=$birdweather_id", $contents);
  $contents = preg_replace("/APPRISE_NOTIFICATION_TITLE=.*/", "APPRISE_NOTIFICATION_TITLE=\"$apprise_notification_title\"", $contents);
-  $contents = preg_replace("/APPRISE_NOTIFICATION_BODY=.*/", "APPRISE_NOTIFICATION_BODY=\"$apprise_notification_body\"", $contents);
+  $contents = preg_replace("/APPRISE_NOTIFICATION_BODY=.*/", "APPRISE_NOTIFICATION_BODY='$apprise_notification_body'", $contents);
  $contents = preg_replace("/APPRISE_NOTIFY_EACH_DETECTION=.*/", "APPRISE_NOTIFY_EACH_DETECTION=$apprise_notify_each_detection", $contents);
  $contents = preg_replace("/APPRISE_NOTIFY_NEW_SPECIES=.*/", "APPRISE_NOTIFY_NEW_SPECIES=$apprise_notify_new_species", $contents);
+  $contents = preg_replace("/APPRISE_NOTIFY_NEW_SPECIES_EACH_DAY=.*/", "APPRISE_NOTIFY_NEW_SPECIES_EACH_DAY=$apprise_notify_new_species_each_day", $contents);
  $contents = preg_replace("/FLICKR_API_KEY=.*/", "FLICKR_API_KEY=$flickr_api_key", $contents);
  $contents = preg_replace("/DATABASE_LANG=.*/", "DATABASE_LANG=$language", $contents);
  $contents = preg_replace("/FLICKR_FILTER_EMAIL=.*/", "FLICKR_FILTER_EMAIL=$flickr_filter_email", $contents);
@@ -104,9 +110,10 @@ if(isset($_GET["latitude"])){
  $contents2 = preg_replace("/LONGITUDE=.*/", "LONGITUDE=$longitude", $contents2);
  $contents2 = preg_replace("/BIRDWEATHER_ID=.*/", "BIRDWEATHER_ID=$birdweather_id", $contents2);
  $contents2 = preg_replace("/APPRISE_NOTIFICATION_TITLE=.*/", "APPRISE_NOTIFICATION_TITLE=\"$apprise_notification_title\"", $contents2);
-  $contents2 = preg_replace("/APPRISE_NOTIFICATION_BODY=.*/", "APPRISE_NOTIFICATION_BODY=\"$apprise_notification_body\"", $contents2);
+  $contents2 = preg_replace("/APPRISE_NOTIFICATION_BODY=.*/", "APPRISE_NOTIFICATION_BODY='$apprise_notification_body'", $contents2);
  $contents2 = preg_replace("/APPRISE_NOTIFY_EACH_DETECTION=.*/", "APPRISE_NOTIFY_EACH_DETECTION=$apprise_notify_each_detection", $contents2);
  $contents2 = preg_replace("/APPRISE_NOTIFY_NEW_SPECIES=.*/", "APPRISE_NOTIFY_NEW_SPECIES=$apprise_notify_new_species", $contents2);
+  $contents2 = preg_replace("/APPRISE_NOTIFY_NEW_SPECIES_EACH_DAY=.*/", "APPRISE_NOTIFY_NEW_SPECIES_EACH_DAY=$apprise_notify_new_species_each_day", $contents2);
  $contents2 = preg_replace("/FLICKR_API_KEY=.*/", "FLICKR_API_KEY=$flickr_api_key", $contents2);
  $contents2 = preg_replace("/DATABASE_LANG=.*/", "DATABASE_LANG=$language", $contents2);
  $contents2 = preg_replace("/FLICKR_FILTER_EMAIL=.*/", "FLICKR_FILTER_EMAIL=$flickr_filter_email", $contents2);
@@ -150,10 +157,18 @@ if(isset($_GET['sendtest']) && $_GET['sendtest'] == "true") {
  $result0 = $statement0->execute();
  while($todaytable=$result0->fetchArray(SQLITE3_ASSOC))
  {
-    $comname = $todaytable['Com_Name'];
-    $filename = $todaytable['File_Name'];
    $sciname = $todaytable['Sci_Name'];
-    $confidence = $todaytable["Confidence"];
+    $comname = $todaytable['Com_Name'];
+    $confidence = $todaytable['Confidence'];
+    $filename = $todaytable['File_Name'];
+    $date = $todaytable['Date'];
+    $time = $todaytable['Time'];
+    $week = $todaytable['Week'];
+    $latitude = $todaytable['Lat'];
+    $longitude = $todaytable['Lon'];
+    $cutoff = $todaytable['Cutoff'];
+    $sens = $todaytable['Sens'];
+    $overlap = $todaytable['Overlap'];
  }

  $title = $_GET['apprise_notification_title'];
@@ -165,15 +180,31 @@ if(isset($_GET['sendtest']) && $_GET['sendtest'] == "true") {
    $filename = "http://birdnetpi.local/"."?filename=".$filename;
  }

-  $title = str_replace("\$comname", $comname, $title);
  $title = str_replace("\$sciname", $sciname, $title);
+  $title = str_replace("\$comname", $comname, $title);
  $title = str_replace("\$confidence", $confidence, $title);
  $title = str_replace("\$listenurl", $filename, $title);
+  $title = str_replace("\$date", $date, $title);
+  $title = str_replace("\$time", $time, $title);
+  $title = str_replace("\$week", $week, $title);
+  $title = str_replace("\$latitude", $latitude, $title);
+  $title = str_replace("\$longitude", $longitude, $title);
+  $title = str_replace("\$cutoff", $cutoff, $title);
+  $title = str_replace("\$sens", $sens, $title);
+  $title = str_replace("\$overlap", $overlap, $title);

-  $body = str_replace("\$comname", $comname, $body);
  $body = str_replace("\$sciname", $sciname, $body);
+  $body = str_replace("\$comname", $comname, $body);
  $body = str_replace("\$confidence", $confidence, $body);
  $body = str_replace("\$listenurl", $filename, $body);
+  $body = str_replace("\$date", $date, $body);
+  $body = str_replace("\$time", $time, $body);
+  $body = str_replace("\$week", $week, $body);
+  $body = str_replace("\$latitude", $latitude, $body);
+  $body = str_replace("\$longitude", $longitude, $body);
+  $body = str_replace("\$cutoff", $cutoff, $body);
+  $body = str_replace("\$sens", $sens, $body);
+  $body = str_replace("\$overlap", $overlap, $body);

  echo "<pre class=\"bash\">".shell_exec($home."/BirdNET-Pi/birdnet/bin/apprise -vv -t '".$title."' -b '".$body."' ".$cf." ")."</pre>";

@@ -273,14 +304,32 @@ https://discordapp.com/api/webhooks/{WebhookID}/{WebhookToken}
      <dd>Confidence Score</dd>
      <dt>$listenurl</dt>
      <dd>A link to the detection</dd>
+      <dt>$date</dt>
+      <dd>Date</dd>
+      <dt>$time</dt>
+      <dd>Time</dd>
+      <dt>$week</dt>
+      <dd>Week</dd>
+      <dt>$latitude</dt>
+      <dd>Latitude</dd>
+      <dt>$longitude</dt>
+      <dd>Longitude</dd>
+      <dt>$cutoff</dt>
+      <dd>Minimum Confidence set in "Advanced Settings"</dd>
+      <dt>$sens</dt>
+      <dd>Sigmoid Sensitivity set in "Advanced Settings"</dd>
+      <dt>$overlap</dt>
+      <dd>Overlap set in "Advanced Settings"</dd>
      </dl>
      <p>Use the variables defined above to customize your notification title and body.</p>
      <label for="apprise_notification_title">Notification Title: </label>
      <input name="apprise_notification_title" type="text" value="<?php print($config['APPRISE_NOTIFICATION_TITLE']);?>" /><br>
      <label for="apprise_notification_body">Notification Body: </label>
-      <input name="apprise_notification_body" type="text" value="<?php print($config['APPRISE_NOTIFICATION_BODY']);?>" /><br>
+      <input name="apprise_notification_body" type="text" value='<?php print($config['APPRISE_NOTIFICATION_BODY']);?>' /><br>
      <input type="checkbox" name="apprise_notify_new_species" <?php if($config['APPRISE_NOTIFY_NEW_SPECIES'] == 1 && filesize($home."/BirdNET-Pi/apprise.txt") != 0) { echo "checked"; };?> >
      <label for="apprise_notify_new_species">Notify each new infrequent species detection (<5 visits per week)</label><br>
+      <input type="checkbox" name="apprise_notify_new_species_each_day" <?php if($config['APPRISE_NOTIFY_NEW_SPECIES_EACH_DAY'] == 1 && filesize($home."/BirdNET-Pi/apprise.txt") != 0) { echo "checked"; };?> >
+      <label for="apprise_notify_new_species_each_day">Notify each new species detection of the day</label><br>
      <input type="checkbox" name="apprise_notify_each_detection" <?php if($config['APPRISE_NOTIFY_EACH_DETECTION'] == 1 && filesize($home."/BirdNET-Pi/apprise.txt") != 0) { echo "checked"; };?> >
      <label for="apprise_notify_each_detection">Notify each new detection</label><br><br>

@@ -6,13 +6,11 @@ from numpy import ma
 import plotly.graph_objects as go
 from plotly.subplots import make_subplots
 import plotly.io as pio
-from datetime import timedelta, datetime
-from pathlib import Path
+from datetime import timedelta
 import sqlite3
 from sqlite3 import Connection
 import plotly.express as px
 from sklearn.preprocessing import normalize
-import time

 pio.templates.default = "plotly_white"

@@ -40,9 +38,8 @@ st.markdown("""
        """, unsafe_allow_html=True)


-
@st.cache(hash_funcs={Connection: id})
-#@st.cache(allow_output_mutation=True)
+# @st.cache(allow_output_mutation=True)
 def get_connection(path: str):
    return sqlite3.connect(path, check_same_thread=False)

@@ -58,19 +55,18 @@ df2 = df.copy()
 df2['DateTime'] = pd.to_datetime(df2['Date'] + " " + df2['Time'])
 df2 = df2.set_index('DateTime')

-daily = st.sidebar.checkbox('Single Day View', help= 'Select if you want single day view, unselect for multi-day views')
+daily = st.sidebar.checkbox('Single Day View', help='Select if you want single day view, unselect for multi-day views')

 if daily:
-# Date as slider
+    # Date as slider
    Start_Date = pd.to_datetime(df2.index.min()).date()
    End_Date = pd.to_datetime(df2.index.max()).date()
 #     cols1, cols2 = st.columns((1, 1))
    end_date = st.sidebar.date_input('Date to View',
-                            min_value = Start_Date,
-                            max_value = End_Date,
-                            value=(End_Date),
-                            help= 'Select date for single day view'                                     
-                            )
+                                     min_value=Start_Date,
+                                     max_value=End_Date,
+                                     value=(End_Date),
+                                     help='Select date for single day view')
    start_date = end_date
 else:
    Start_Date = pd.to_datetime(df2.index.min()).date()
@@ -78,11 +74,10 @@ else:

 #    cols1, cols2 = st.columns((1, 1))
    start_date, end_date = st.sidebar.slider('Date Range',
-                                    min_value = Start_Date-timedelta(days=1),
-                                    max_value = End_Date,
-                                    value=(Start_Date, End_Date),
-                                    help= 'Select start and end date, if same date get a clockplot for a single day'                                        
-                                    )
+                                             min_value=Start_Date-timedelta(days=1),
+                                             max_value=End_Date,
+                                             value=(Start_Date, End_Date),
+                                             help='Select start and end date, if same date get a clockplot for a single day')

 # start_date, end_date = cols1.date_input(
 #     "Date Input for Analysis - select Range for single specie analysis, select single date for daily view",
@@ -93,12 +88,14 @@ else:
 # start_date = datetime(2022 ,5 ,17).date()
 # end_date = datetime(2022 ,5 ,17).date()

+
@st.cache()
 def date_filter(df, start_date, end_date):
    filt = (df2.index >= pd.Timestamp(start_date)) & (df2.index <= pd.Timestamp(end_date + timedelta(days=1)))
    df = df[filt]
    return(df)

+
 df2 = date_filter(df2, start_date, end_date)

 st.write('<style>div.row-widget.stRadio > div{flex-direction:row;justify-content: left;} </style>',
@@ -112,7 +109,7 @@ st.write('<style>div.st-bf{flex-direction:column;} div.st-ag{font-weight:bold;pa
 if start_date == end_date:
    resample_sel = st.sidebar.radio(
        "Resample Resolution",
-        ('Raw', '15 minutes', 'Hourly'), index=1, help= 'Select resolution for single day - larger times run faster' )
+        ('Raw', '15 minutes', 'Hourly'), index=1, help='Select resolution for single day - larger times run faster')

    resample_times = {'Raw': 'Raw',
                      '1 minute': '1min',
@@ -124,7 +121,7 @@ if start_date == end_date:
 else:
    resample_sel = st.sidebar.radio(
        "Resample Resolution",
-        ('Raw', '15 minutes', 'Hourly', 'DAILY'), index=1, help= 'Select resolution for species - DAILY provides time series')
+        ('Raw', '15 minutes', 'Hourly', 'DAILY'), index=1, help='Select resolution for species - DAILY provides time series')

    resample_times = {'Raw': 'Raw',
                      '1 minute': '1min',
@@ -134,6 +131,7 @@ else:
                      }
    resample_time = resample_times[resample_sel]

+
@st.cache()
 def time_resample(df, resample_time):
    if resample_time == 'Raw':
@@ -143,6 +141,8 @@ def time_resample(df, resample_time):
        df_resample = df.resample(resample_time)['Com_Name'].aggregate('unique').explode()

    return(df_resample)
+
+
 top_bird = df2['Com_Name'].mode()[0]
 df5 = time_resample(df2, resample_time)

@@ -151,12 +151,12 @@ df5 = time_resample(df2, resample_time)
 Specie_Count = df5.value_counts()

 # Create Hourly Crosstab
-hourly = pd.crosstab(df5, df5.index.hour, dropna=True, margins= True)
+hourly = pd.crosstab(df5, df5.index.hour, dropna=True, margins=True)

 # Filter on species
-species = list(hourly.sort_values("All", ascending= False).index)
+species = list(hourly.sort_values("All", ascending=False).index)

-#cols1, cols2 = st.columns((1, 1))
+# cols1, cols2 = st.columns((1, 1))
 top_N = st.sidebar.slider(
    'Select Number of Birds to Show',
    min_value=1,
@@ -168,26 +168,26 @@ top_N_species = (df5.value_counts()[:top_N])

 font_size = 15

-if daily == False:
-    
+if daily is False:
+
    if resample_time != '1D':
        specie = st.selectbox(
-        'Which bird would you like to explore for the dates ' 
-        + str(start_date) + ' to ' + str(end_date) + '?', 
-        species,
-        index = 0)
-
+                'Which bird would you like to explore for the dates '
+                + str(start_date) + ' to ' + str(end_date) + '?',
+                species,
+                index=0)

    # filt = df2['Com_Name'] == specie
        if specie == 'All':
-            df_counts = int(hourly[hourly.index==specie]['All'])
+            df_counts = int(hourly[hourly.index == specie]['All'])
            fig = make_subplots(
                rows=3, cols=2,
-                specs=[[{"type": "xy", "rowspan": 3}, {"type": "polar", "rowspan": 2}], [{"rowspan": 1}, {"rowspan": 1}],
-                    [None, {"type": "xy", "rowspan": 1}]],
+                specs=[[{"type": "xy", "rowspan": 3}, {"type": "polar", "rowspan": 2}],
+                       [{"rowspan": 1}, {"rowspan": 1}],
+                       [None, {"type": "xy", "rowspan": 1}]],
                subplot_titles=('<b>Top ' + str(top_N) + ' Species in Date Range ' + str(start_date) + ' to ' + str(
                    end_date) + '<br>for ' + str(resample_sel) + ' sampling interval.' + '</b>',
-                                'Total Detect:' + str('{:,}'.format(df_counts)) 
+                                'Total Detect:' + str('{:,}'.format(df_counts))
                                # +   '   Confidence Max:' + str(
                                #     '{:.2f}%'.format(max(df2[df2['Com_Name'] == specie]['Confidence']) * 100)) +
                                # '   ' + '   Median:' + str(
@@ -197,9 +197,9 @@ if daily == False:
            fig.layout.annotations[1].update(x=0.7, y=0.25, font_size=15)

            # Plot seen species for selected date range and number of species
-            
+
            fig.add_trace(go.Bar(y=top_N_species.index, x=top_N_species, orientation='h', marker_color='seagreen'), row=1, col=1)
-            
+
            fig.update_layout(
                margin=dict(l=0, r=0, t=50, b=0),
                yaxis={'categoryorder': 'total ascending'})
@@ -232,16 +232,17 @@ if daily == False:
                        rotation=-90,
                        direction='clockwise',
                        tickmode='array',
-                        tickvals=[0, 15, 35, 45, 60, 75, 90, 105, 120, 135, 150, 165, 180, 195, 210, 225, 240, 255, 270,
-                                285, 300, 315, 330, 345],
-                        ticktext=['12am', '1am', '2am', '3am', '4am', '5am', '6am', '7am', '8am', '9am', '10am', '11am',
-                                '12pm', '1pm', '2pm', '3pm', '4pm', '5pm', '6pm', '7pm', '8pm', '9pm', '10pm', '11pm'],
+                        tickvals=[0, 15, 35, 45, 60, 75, 90, 105, 120, 135, 150, 165, 180, 195, 210,
+                                  225, 240, 255, 270, 285, 300, 315, 330, 345],
+                        ticktext=['12am', '1am', '2am', '3am', '4am', '5am', '6am', '7am', '8am', '9am',
+                                  '10am', '11am', '12pm', '1pm', '2pm', '3pm', '4pm', '5pm', '6pm',
+                                  '7pm', '8pm', '9pm', '10pm', '11pm'],
                        hoverformat="#%{theta}: <br>Popularity: %{percent} </br> %{r}"
                    ),
                ),
            )

-            daily = pd.crosstab(df5, df5.index.date, dropna=True, margins = True)
+            daily = pd.crosstab(df5, df5.index.date, dropna=True, margins=True)
            fig.add_trace(go.Bar(x=daily.columns[:-1], y=daily.loc[specie][:-1], marker_color='seagreen'), row=3, col=2)
            st.plotly_chart(fig, use_container_width=True)  # , config=config)

@@ -250,7 +251,7 @@ if daily == False:
            with col1:
                fig = make_subplots(
                    rows=3, cols=1,
-                    specs=[[{"type": "polar", "rowspan": 2}],[{"rowspan": 1}], [{"type": "xy", "rowspan": 1}]]
+                    specs=[[{"type": "polar", "rowspan": 2}], [{"rowspan": 1}], [{"type": "xy", "rowspan": 1}]]
                            )
                # Set 360 degrees, 24 hours for polar plot
                theta = np.linspace(0.0, 360, 24, endpoint=False)
@@ -280,81 +281,75 @@ if daily == False:
                            rotation=-90,
                            direction='clockwise',
                            tickmode='array',
-                            tickvals=[0, 15, 35, 45, 60, 75, 90, 105, 120, 135, 150, 165, 180, 195, 210, 225, 240, 255, 270,
-                                    285, 300, 315, 330, 345],
-                            ticktext=['12am', '1am', '2am', '3am', '4am', '5am', '6am', '7am', '8am', '9am', '10am', '11am',
-                                    '12pm', '1pm', '2pm', '3pm', '4pm', '5pm', '6pm', '7pm', '8pm', '9pm', '10pm', '11pm'],
+                            tickvals=[0, 15, 35, 45, 60, 75, 90, 105, 120, 135, 150, 165, 180, 195,
+                                      210, 225, 240, 255, 270, 285, 300, 315, 330, 345],
+                            ticktext=['12am', '1am', '2am', '3am', '4am', '5am', '6am', '7am', '8am',
+                                      '9am', '10am', '11am', '12pm', '1pm', '2pm', '3pm', '4pm', '5pm',
+                                      '6pm', '7pm', '8pm', '9pm', '10pm', '11pm'],
                            hoverformat="#%{theta}: <br>Popularity: %{percent} </br> %{r}"
                        ),
                    ),
                )

-                daily = pd.crosstab(df5, df5.index.date, dropna=True, margins = True)
+                daily = pd.crosstab(df5, df5.index.date, dropna=True, margins=True)
                fig.add_trace(go.Bar(x=daily.columns[:-1], y=daily.loc[specie][:-1], marker_color='seagreen'), row=3, col=1)
                st.plotly_chart(fig, use_container_width=True)  # , config=config)
-                df_counts = int(hourly[hourly.index==specie]['All'])
-                st.subheader('Total Detect:' + str('{:,}'.format(df_counts)) 
-                                +   '   Confidence Max:' + str(
-                                    '{:.2f}%'.format(max(df2[df2['Com_Name'] == specie]['Confidence']) * 100)) +
-                                '   ' + '   Median:' + str(
-                                    '{:.2f}%'.format(np.median(df2[df2['Com_Name'] == specie]['Confidence']) * 100)))
+                df_counts = int(hourly[hourly.index == specie]['All'])
+                st.subheader('Total Detect:' + str('{:,}'.format(df_counts))
+                             + '   Confidence Max:' +
+                             str('{:.2f}%'.format(max(df2[df2['Com_Name'] == specie]['Confidence']) * 100))
+                             + '   ' + '   Median:' +
+                             str('{:.2f}%'.format(np.median(df2[df2['Com_Name'] == specie]['Confidence']) * 100)))

+            recordings = df2[df2['Com_Name'] == specie]['File_Name']

-            recordings=df2[df2['Com_Name']==specie]['File_Name']
-            
-        
            with col2:
                try:
                    recording = st.selectbox('Available recordings', recordings.sort_index(ascending=False))
-                    date_specie = df2.loc[df2['File_Name']==recording,['Date','Com_Name']]
+                    date_specie = df2.loc[df2['File_Name'] == recording, ['Date', 'Com_Name']]
                    date_dir = date_specie['Date'].values[0]
-                    specie_dir = date_specie['Com_Name'].values[0].replace(" ","_")
-                    st.image(userDir + '/BirdSongs/Extracted/By_Date/'+ date_dir + '/'+ specie_dir + '/' + recording + '.png')
-                    st.audio(userDir +'/BirdSongs/Extracted/By_Date/'+ date_dir + '/'+ specie_dir + '/' + recording)
-                except:
-                    st.title('RECORDING NOT AVAILABLE :(')    
+                    specie_dir = date_specie['Com_Name'].values[0].replace(" ", "_")
+                    st.image(userDir + '/BirdSongs/Extracted/By_Date/' + date_dir + '/' + specie_dir + '/' + recording + '.png')
+                    st.audio(userDir + '/BirdSongs/Extracted/By_Date/' + date_dir + '/' + specie_dir + '/' + recording)
+                except Exception:
+                    st.title('RECORDING NOT AVAILABLE :(')
            # try:
            #     con = sqlite3.connect(userDir + '/BirdNET-Pi/scripts/birds.db')
            #     cur = con.cursor()
-            cola, colb, colc, cold = st.columns((3,1,1,1))
+            cola, colb, colc, cold = st.columns((3, 1, 1, 1))
            with colb:
                seen = st.checkbox('Reviewed')
            if seen:
                with colc:
-                    verified = st.radio("Verification",['True Positive','False Positive'])
-            
+                    verified = st.radio("Verification", ['True Positive', 'False Positive'])
+
                    if verified == "False Positive":
-                        df_names = pd.read_csv(userDir+'/BirdNET-Pi/model/labels.txt', delimiter= '_', names=['Sci_Name', 'Com_Name']) 
-                        df_unknown= pd.DataFrame({"Sci_Name":["UNKNOWN"],"Com_Name":["UNKNOWN"]})
-                        df_names = pd.concat([df_unknown,df_names], ignore_index=True)
+                        df_names = pd.read_csv(userDir + '/BirdNET-Pi/model/labels.txt', delimiter='_', names=['Sci_Name', 'Com_Name'])
+                        df_unknown = pd.DataFrame({"Sci_Name": ["UNKNOWN"], "Com_Name": ["UNKNOWN"]})
+                        df_names = pd.concat([df_unknown, df_names], ignore_index=True)
                        with cold:
                            corrected = st.selectbox('What species?', df_names['Com_Name'])
            #     cur.execute("UPDATE detections SET  Seen = seen WHERE File_Name = recording")
            #     con.commit()
            #     con.close()
-            
+
            # except BaseException:
            #     print("Database busy")
            #     time.sleep(2)
-            
-            
+
    else:

-        specie = st.selectbox(
-        'Which bird would you like to explore for the dates ' 
-        + str(start_date) + ' to ' + str(end_date) + '?', 
-        species[1:],
-        index = 0)
-
+        specie = st.selectbox('Which bird would you like to explore for the dates '
+                              + str(start_date) + ' to ' + str(end_date) + '?',
+                              species[1:],
+                              index=0)

    # filt = df2[df2['Com_Name'] == specie]

-        df_counts = int(hourly[hourly.index==specie]['All'])
+        df_counts = int(hourly[hourly.index == specie]['All'])
        fig = st.container()
-        fig = make_subplots(
-                        rows=1, cols =1)
+        fig = make_subplots(rows=1, cols=1)
    #                     specs= [[{"type":"xy","rowspan":1},{"type":"heatmap","rowspan":1}]],
-                            

    #                     subplot_titles=('<b>Daily Top '+ str(top_N) + ' Species in Date Range '+ str(start_date) +' to '+ str(end_date) +'</b>',
    #                                     '<b>Daily ' + specie+ ' Detections on 15 minute intervals </b>'),
@@ -365,9 +360,9 @@ if daily == False:
    #                     )

 #        fig.add_trace(go.Bar(y=top_N_species.index, x=top_N_species, orientation='h'), row=1,col=1)
-        df4=df2['Com_Name'][df2['Com_Name']==specie].resample('15min').count()
-        df4.index=[df4.index.date, df4.index.time]
-        day_hour_freq=df4.unstack().fillna(0)
+        df4 = df2['Com_Name'][df2['Com_Name'] == specie].resample('15min').count()
+        df4.index = [df4.index.date, df4.index.time]
+        day_hour_freq = df4.unstack().fillna(0)

        fig_x = [d.strftime('%d-%m-%Y') for d in day_hour_freq.index.tolist()]
        fig_y = [h.strftime('%H:%M') for h in day_hour_freq.columns.tolist()]
@@ -377,9 +372,9 @@ if daily == False:
        # fig.update_layout(
        # margin=dict(l=0, r=0, t=50, b=0),
        # yaxis={'categoryorder':'total ascending'})
-        color_pals= px.colors.named_colorscales()
+        color_pals = px.colors.named_colorscales()
        selected_pal = st.sidebar.selectbox('Select Color Pallet for Daily Detections', color_pals)
-        fig.add_trace(go.Heatmap(x=fig_x,y=fig_y,z=fig_z, autocolorscale = False, colorscale = selected_pal), row=1, col=1)
+        fig.add_trace(go.Heatmap(x=fig_x, y=fig_y, z=fig_z, autocolorscale=False, colorscale=selected_pal), row=1, col=1)
        st.plotly_chart(fig, use_container_width=True)  # , config=config)
 else:
    fig = make_subplots(
@@ -436,9 +431,7 @@ else:
    st.plotly_chart(fig, use_container_width=True)  # , config=config)

 # cols3,cols4=st.columns((1,1))
-# 
 # extract_date=Date_Slider
-# 
 # audio_file = open('/home/*/BirdSongs/Extracted/By_Date/2022-03-22/Yellow-streaked_Greenbul/Yellow-streaked_Greenbul-77-2022-03-22-birdnet-15:04:28.mp3', 'rb')
 # audio_bytes = audio_file.read()
 # cols4.audio(audio_bytes, format='audio/mp3')
@@ -1,4 +1,3 @@
-import apprise
 from pathlib import Path
 from tzlocal import get_localzone
 import datetime
@@ -13,6 +12,10 @@ import operator
 import socket
 import threading
 import os
+
+from utils.notifications import sendAppriseNotifications
+from utils.parse_settings import config_to_settings
+
 os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
 os.environ['CUDA_VISIBLE_DEVICES'] = ''

@@ -29,6 +32,10 @@ ADDR = (SERVER, PORT)
 FORMAT = 'utf-8'
 DISCONNECT_MESSAGE = "!DISCONNECT"

+userDir = os.path.expanduser('~')
+DB_PATH = userDir + '/BirdNET-Pi/scripts/birds.db'
+
+
 server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
 server.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)

@@ -40,7 +47,6 @@ except BaseException:


 # Open most recent Configuration and grab DB_PWD as a python variable
-userDir = os.path.expanduser('~')
 with open(userDir + '/BirdNET-Pi/scripts/thisrun.txt', 'r') as f:
    this_run = f.readlines()
    audiofmt = "." + str(str(str([i for i in this_run if i.startswith('AUDIOFMT')]).split('=')[1]).split('\\')[0])
@@ -228,59 +234,6 @@ def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap,):
    return detections


-def sendAppriseNotifications(species, confidence, path):
-    if os.path.exists(userDir + '/BirdNET-Pi/apprise.txt') and os.path.getsize(userDir + '/BirdNET-Pi/apprise.txt') > 0:
-        with open(userDir + '/BirdNET-Pi/scripts/thisrun.txt', 'r') as f:
-            this_run = f.readlines()
-            title = str(str(str([i for i in this_run if i.startswith('APPRISE_NOTIFICATION_TITLE')]).split('=')[1]).split('\\')[0]).replace('"', '')
-            body = str(str(str([i for i in this_run if i.startswith('APPRISE_NOTIFICATION_BODY')]).split('=')[1]).split('\\')[0]).replace('"', '')
-            
-            try:
-                websiteurl = str(str(str([i for i in this_run if i.startswith('BIRDNETPI_URL')]).split('=')[1]).split('\\')[0]).replace('"', '')
-                if len(websiteurl) == 0:
-                    raise ValueError('Blank URL')
-            except Exception as e:
-                websiteurl = "http://"+socket.gethostname()+".local"
-
-            listenurl = websiteurl+"?filename="+path
-
-        if str(str(str([i for i in this_run if i.startswith('APPRISE_NOTIFY_EACH_DETECTION')]).split('=')[1]).split('\\')[0]) == "1":
-
-            apobj = apprise.Apprise()
-            config = apprise.AppriseConfig()
-            config.add(userDir + '/BirdNET-Pi/apprise.txt')
-            apobj.add(config)
-
-            apobj.notify(
-                body=body.replace("$sciname", species.split("_")[0]).replace("$comname", species.split("_")[1]).replace("$confidence", confidence).replace("$listenurl", listenurl),
-                title=title.replace("$sciname", species.split("_")[0]).replace("$comname", species.split("_")[1]).replace("$confidence", confidence).replace("$listenurl", listenurl),
-            )
-
-        if str(str(str([i for i in this_run if i.startswith('APPRISE_NOTIFY_NEW_SPECIES')]).split('=')[1]).split('\\')[0]) == "1":
-            try:
-                con = sqlite3.connect(userDir + '/BirdNET-Pi/scripts/birds.db')
-                cur = con.cursor()
-                cur.execute("SELECT DISTINCT(Com_Name), count(Com_Name) FROM detections WHERE date > (SELECT DATETIME('now', '-7 day')) GROUP BY Com_Name")
-                known_species = cur.fetchall()
-                sciName, comName = species.split("_")
-                numberDetections = [d[1] for d in known_species if d[0] == comName.replace("'","")][0]
-
-                if numberDetections <= 5:
-                    apobj = apprise.Apprise()
-                    config = apprise.AppriseConfig()
-                    config.add(userDir + '/BirdNET-Pi/apprise.txt')
-                    apobj.add(config)
-                    apobj.notify(
-                        body=body.replace("$sciname", species.split("_")[0]).replace("$comname", species.split("_")[1]).replace("$confidence", confidence).replace("$listenurl", listenurl) + " (only seen "+str(int(numberDetections))+" times in last 7d)",
-                        title=title.replace("$sciname", species.split("_")[0]).replace("$comname", species.split("_")[1]).replace("$confidence", confidence).replace("$listenurl", listenurl) + " (only seen "+str(int(numberDetections))+" times in last 7d)",
-                    )
-
-                con.close()
-            except BaseException:
-                print("Database busy")
-                time.sleep(2)
-
-
 def writeResultsToFile(detections, min_conf, path):

    print('WRITING RESULTS TO', path, '...', end=' ')
@@ -408,13 +361,16 @@ def handle_client(conn, addr):

                with open(userDir + '/BirdNET-Pi/BirdDB.txt', 'a') as rfile:
                    for d in detections:
+                        species_apprised_this_run = []
                        for entry in detections[d]:
                            if entry[1] >= min_conf and ((entry[0] in INCLUDE_LIST or len(INCLUDE_LIST) == 0)
                                                         and (entry[0] not in EXCLUDE_LIST or len(EXCLUDE_LIST) == 0)):
+                                # Write to text file.
                                rfile.write(str(current_date) + ';' + str(current_time) + ';' + entry[0].replace('_', ';') + ';'
                                            + str(entry[1]) + ";" + str(args.lat) + ';' + str(args.lon) + ';' + str(min_conf) + ';' + str(week) + ';'
                                            + str(args.sensitivity) + ';' + str(args.overlap) + '\n')

+                                # Write to database
                                Date = str(current_date)
                                Time = str(current_time)
                                species = entry[0]
@@ -434,7 +390,7 @@ def handle_client(conn, addr):
                                # Connect to SQLite Database
                                for attempt_number in range(3):
                                    try:
-                                        con = sqlite3.connect(userDir + '/BirdNET-Pi/scripts/birds.db')
+                                        con = sqlite3.connect(DB_PATH)
                                        cur = con.cursor()
                                        cur.execute("INSERT INTO detections VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", (Date, Time,
                                                    Sci_Name, Com_Name, str(score), Lat, Lon, Cutoff, Week, Sens, Overlap, File_Name))
@@ -445,8 +401,24 @@ def handle_client(conn, addr):
                                    except BaseException:
                                        print("Database busy")
                                        time.sleep(2)
-                                        
-                                sendAppriseNotifications(str(entry[0]), str(entry[1]), File_Name)
+
+                                # Apprise of detection if not already alerted this run.
+                                if not entry[0] in species_apprised_this_run:
+                                    settings_dict = config_to_settings(userDir + '/BirdNET-Pi/scripts/thisrun.txt')
+                                    sendAppriseNotifications(species,
+                                                             str(score),
+                                                             File_Name,
+                                                             Date,
+                                                             Time,
+                                                             Week,
+                                                             Lat,
+                                                             Lon,
+                                                             Cutoff,
+                                                             Sens,
+                                                             Overlap,
+                                                             settings_dict,
+                                                             DB_PATH)
+                                    species_apprised_this_run.append(entry[0])

                                print(str(current_date) +
                                      ';' +
@@ -467,14 +439,8 @@ def handle_client(conn, addr):
                                      str(args.sensitivity) +
                                      ';' +
                                      str(args.overlap) +
-                                      Com_Name.replace(" ", "_") +
-                                      '-' +
-                                      str(score) +
-                                      '-' +
-                                      str(current_date) +
-                                      '-birdnet-' +
-                                      str(current_time) +
-                                      audiofmt +
+                                      ';' +
+                                      File_Name +
                                      '\n')

                                if birdweather_id != "99999":
@@ -40,6 +40,9 @@ fi
 if ! grep APPRISE_NOTIFY_NEW_SPECIES /etc/birdnet/birdnet.conf &>/dev/null;then
  sudo -u$USER echo "APPRISE_NOTIFY_NEW_SPECIES=0 " >> /etc/birdnet/birdnet.conf
 fi
+if ! grep APPRISE_NOTIFY_NEW_SPECIES_EACH_DAY /etc/birdnet/birdnet.conf &>/dev/null;then
+  sudo -u$USER echo "APPRISE_NOTIFY_NEW_SPECIES_EACH_DAY=0 " >> /etc/birdnet/birdnet.conf
+fi

 # If the config does not contain the DATABASE_LANG setting, we'll want to add it.
 # Defaults to not-selected, which config.php will know to render as a language option.
@@ -50,8 +53,8 @@ fi

 apprise_installation_status=$(~/BirdNET-Pi/birdnet/bin/python3 -c 'import pkgutil; print("installed" if pkgutil.find_loader("apprise") else "not installed")')
 if [[ "$apprise_installation_status" = "not installed" ]];then
-  ~/BirdNET-Pi/birdnet/bin/pip3 install -U pip
-  ~/BirdNET-Pi/birdnet/bin/pip3 install apprise
+  $HOME/BirdNET-Pi/birdnet/bin/pip3 install -U pip
+  $HOME/BirdNET-Pi/birdnet/bin/pip3 install apprise
 fi
 [ -f $HOME/BirdNET-Pi/apprise.txt ] || sudo -E -ucaddy touch $HOME/BirdNET-Pi/apprise.txt
 if ! which lsof &>/dev/null;then
@@ -85,5 +88,12 @@ if ! grep FLICKR_FILTER_EMAIL /etc/birdnet/birdnet.conf &>/dev/null;then
  sudo -u$USER echo "FLICKR_FILTER_EMAIL=" >> /etc/birdnet/birdnet.conf
 fi

+pytest_installation_status=$(~/BirdNET-Pi/birdnet/bin/python3 -c 'import pkgutil; print("installed" if pkgutil.find_loader("pytest") else "not installed")')
+if [[ "$pytest_installation_status" = "not installed" ]];then
+  $HOME/BirdNET-Pi/birdnet/bin/pip3 install -U pip
+  $HOME/BirdNET-Pi/birdnet/bin/pip3 install pytest==7.1.2 pytest-mock==3.7.0
+fi
+
+
 sudo systemctl daemon-reload
 restart_services.sh
@@ -0,0 +1,161 @@
+import apprise
+import os
+import socket
+import sqlite3
+from datetime import datetime
+
+userDir = os.path.expanduser('~')
+APPRISE_CONFIG = userDir + '/BirdNET-Pi/apprise.txt'
+DB_PATH = userDir + '/BirdNET-Pi/scripts/birds.db'
+
+
+def notify(body, title):
+    apobj = apprise.Apprise()
+    config = apprise.AppriseConfig()
+    config.add(APPRISE_CONFIG)
+    apobj.add(config)
+    apobj.notify(
+        body=body,
+        title=title,
+    )
+
+
+def sendAppriseNotifications(species, confidence, path, date, time, week, latitude, longitude, cutoff, sens, overlap, settings_dict, db_path=DB_PATH):
+    # print(sendAppriseNotifications)
+    # print(settings_dict)
+    if os.path.exists(APPRISE_CONFIG) and os.path.getsize(APPRISE_CONFIG) > 0:
+
+        title = settings_dict.get('APPRISE_NOTIFICATION_TITLE')
+        body = settings_dict.get('APPRISE_NOTIFICATION_BODY')
+        sciName, comName = species.split("_")
+
+        try:
+            websiteurl = settings_dict.get('BIRDNETPI_URL')
+            if len(websiteurl) == 0:
+                raise ValueError('Blank URL')
+        except Exception:
+            websiteurl = "http://"+socket.gethostname()+".local"
+
+        listenurl = websiteurl+"?filename="+path
+
+        if settings_dict.get('APPRISE_NOTIFY_EACH_DETECTION') == "1":
+            notify_body = body.replace("$sciname", sciName)\
+                .replace("$comname", comName)\
+                .replace("$confidence", confidence)\
+                .replace("$listenurl", listenurl)\
+                .replace("$date", date)\
+                .replace("$time", time)\
+                .replace("$week", week)\
+                .replace("$latitude", latitude)\
+                .replace("$longitude", longitude)\
+                .replace("$cutoff", cutoff)\
+                .replace("$sens", sens)\
+                .replace("$overlap", overlap)
+            notify_title = title.replace("$sciname", sciName)\
+                .replace("$comname", comName)\
+                .replace("$confidence", confidence)\
+                .replace("$listenurl", listenurl)\
+                .replace("$date", date)\
+                .replace("$time", time)\
+                .replace("$week", week)\
+                .replace("$latitude", latitude)\
+                .replace("$longitude", longitude)\
+                .replace("$cutoff", cutoff)\
+                .replace("$sens", sens)\
+                .replace("$overlap", overlap)
+            notify(notify_body, notify_title)
+
+        APPRISE_NOTIFICATION_NEW_SPECIES_DAILY_COUNT_LIMIT = 1  # Notifies the first N per day.
+        if settings_dict.get('APPRISE_NOTIFY_NEW_SPECIES_EACH_DAY') == "1":
+            try:
+                con = sqlite3.connect(db_path)
+                cur = con.cursor()
+                today = datetime.now().strftime("%Y-%m-%d")
+                cur.execute(f"SELECT DISTINCT(Com_Name), COUNT(Com_Name) FROM detections WHERE Date = DATE('{today}') GROUP BY Com_Name")
+                known_species = cur.fetchall()
+                detections = [d[1] for d in known_species if d[0] == comName.replace("'", "")]
+                numberDetections = 0
+                if len(detections):
+                    numberDetections = detections[0]
+                if numberDetections > 0 and numberDetections <= APPRISE_NOTIFICATION_NEW_SPECIES_DAILY_COUNT_LIMIT:
+                    print("send the notification")
+                    notify_body = body.replace("$sciname", sciName)\
+                        .replace("$comname", comName)\
+                        .replace("$confidence", confidence)\
+                        .replace("$listenurl", listenurl)\
+                        .replace("$date", date)\
+                        .replace("$time", time)\
+                        .replace("$week", week)\
+                        .replace("$latitude", latitude)\
+                        .replace("$longitude", longitude)\
+                        .replace("$cutoff", cutoff)\
+                        .replace("$sens", sens)\
+                        .replace("$overlap", overlap)\
+                        + " (first time today)"
+                    notify_title = title.replace("$sciname", sciName)\
+                        .replace("$comname", comName)\
+                        .replace("$confidence", confidence)\
+                        .replace("$listenurl", listenurl)\
+                        .replace("$date", date)\
+                        .replace("$time", time)\
+                        .replace("$week", week)\
+                        .replace("$latitude", latitude)\
+                        .replace("$longitude", longitude)\
+                        .replace("$cutoff", cutoff)\
+                        .replace("$sens", sens)\
+                        .replace("$overlap", overlap)\
+                        + " (first time today)"
+                    notify(notify_body, notify_title)
+                con.close()
+            except sqlite3.Error as e:
+                print(e)
+                print("Database busy")
+                time.sleep(2)
+
+        if settings_dict.get('APPRISE_NOTIFY_NEW_SPECIES') == "1":
+            try:
+                con = sqlite3.connect(db_path)
+                cur = con.cursor()
+                today = datetime.now().strftime("%Y-%m-%d")
+                cur.execute(f"SELECT DISTINCT(Com_Name), COUNT(Com_Name) FROM detections WHERE Date >= DATE('{today}', '-7 day') GROUP BY Com_Name")
+                known_species = cur.fetchall()
+                detections = [d[1] for d in known_species if d[0] == comName.replace("'", "")]
+                numberDetections = 0
+                if len(detections):
+                    numberDetections = detections[0]
+                if numberDetections > 0 and numberDetections <= 5:
+                    notify_body = body.replace("$sciname", sciName)\
+                        .replace("$comname", comName)\
+                        .replace("$confidence", confidence)\
+                        .replace("$listenurl", listenurl)\
+                        .replace("$date", date)\
+                        .replace("$time", time)\
+                        .replace("$week", week)\
+                        .replace("$latitude", latitude)\
+                        .replace("$longitude", longitude)\
+                        .replace("$cutoff", cutoff)\
+                        .replace("$sens", sens)\
+                        .replace("$overlap", overlap)\
+                        + " (only seen " + str(int(numberDetections)) + " times in last 7d)"
+                    notify_title = title.replace("$sciname", sciName)\
+                        .replace("$comname", comName)\
+                        .replace("$confidence", confidence)\
+                        .replace("$listenurl", listenurl)\
+                        .replace("$date", date)\
+                        .replace("$time", time)\
+                        .replace("$week", week)\
+                        .replace("$latitude", latitude)\
+                        .replace("$longitude", longitude)\
+                        .replace("$cutoff", cutoff)\
+                        .replace("$sens", sens)\
+                        .replace("$overlap", overlap)\
+                        + " (only seen " + str(int(numberDetections)) + " times in last 7d)"
+                    notify(notify_body, notify_title)
+                con.close()
+            except sqlite3.Error:
+                print("Database busy")
+                time.sleep(2)
+
+
+if __name__ == "__main__":
+    print("notfications")
@@ -0,0 +1,16 @@
+def config_to_settings(path):
+    # Returns settings dict from BirdNET-pi text format.
+    # Consider refactoring to use ConfigParser files, or another standardized format.
+    settings = {}
+    with open(path, 'r') as f:
+        this_run = f.readlines()
+    for i in this_run:
+        key = i.split("=")[0]
+        value = i.split("=")[1][:-1]
+        # Trim for strings, not ideal
+        if value.startswith('"') and value.endswith('"'):
+            value = value[1:-1]
+        if value.startswith("'") and value.endswith("'"):
+            value = value[1:-1]
+        settings[key] = value
+    return settings
@@ -0,0 +1,83 @@
+import os
+import sqlite3
+import pytest
+from scripts.utils.notifications import sendAppriseNotifications
+from datetime import datetime
+
+
+def create_test_db(db_file):
+    """ create a database connection to a SQLite database """
+    conn = None
+    try:
+        conn = sqlite3.connect(db_file)
+        sql_create_detections_table = """ CREATE TABLE IF NOT EXISTS detections (
+                                        id integer PRIMARY KEY,
+                                        Com_Name text NOT NULL,
+                                        Date date NULL,
+                                        Time time NULL
+                                    ); """
+        cur = conn.cursor()
+        cur.execute(sql_create_detections_table)
+        sql = ''' INSERT INTO detections(Com_Name, Date)
+              VALUES(?,?) '''
+
+        cur = conn.cursor()
+        today = datetime.now().strftime("%Y-%m-%d")  # SQLite stores date as YYYY-MM-DD
+        cur.execute(sql, ["Great Crested Flycatcher", today])
+        conn.commit()
+
+    except Exception as e:
+        print(e)
+    finally:
+        if conn:
+            conn.close()
+
+
+@pytest.fixture(autouse=True)
+def clean_up_after_each_test():
+    yield
+    os.remove("test.db")
+
+
+def test_notifications(mocker):
+    notify_call = mocker.patch('scripts.utils.notifications.notify')
+    create_test_db("test.db")
+    settings_dict = {
+        "APPRISE_NOTIFICATION_TITLE": "New backyard bird!",
+        "APPRISE_NOTIFICATION_BODY": "A $comname ($sciname) was just detected with a confidence of $confidence",
+        "APPRISE_NOTIFY_EACH_DETECTION": "0",
+        "APPRISE_NOTIFY_NEW_SPECIES": "0",
+        "APPRISE_NOTIFY_NEW_SPECIES_EACH_DAY": "0"
+    }
+
+    # No active apprise notifcations configured. Confirm no notifications.
+    sendAppriseNotifications("Myiarchus crinitus_Great Crested Flycatcher", "91", "filename", settings_dict, "test.db")
+    assert(notify_call.call_count == 0)  # No notification should be sent.
+
+    # Add daily notification.
+    notify_call.reset_mock()
+    settings_dict["APPRISE_NOTIFY_NEW_SPECIES_EACH_DAY"] = "1"
+    sendAppriseNotifications("Myiarchus crinitus_Great Crested Flycatcher", "91", "filename", settings_dict, "test.db")
+    assert(notify_call.call_count == 1)
+    assert(
+        notify_call.call_args_list[0][0][0] == "A Great Crested Flycatcher (Myiarchus crinitus) was just detected with a confidence of 91 (first time today)"
+    )
+
+    # Add new species notification.
+    notify_call.reset_mock()
+    settings_dict["APPRISE_NOTIFY_NEW_SPECIES"] = "1"
+    sendAppriseNotifications("Myiarchus crinitus_Great Crested Flycatcher", "91", "filename", settings_dict, "test.db")
+    assert(notify_call.call_count == 2)
+    assert(
+        notify_call.call_args_list[0][0][0] == "A Great Crested Flycatcher (Myiarchus crinitus) was just detected with a confidence of 91 (first time today)"
+    )
+    assert(
+        notify_call.call_args_list[1][0][0] == "A Great Crested Flycatcher (Myiarchus crinitus) \
+                was just detected with a confidence of 91 (only seen 1 times in last 7d)"
+    )
+
+    # Add each species notification.
+    notify_call.reset_mock()
+    settings_dict["APPRISE_NOTIFY_EACH_DETECTION"] = "1"
+    sendAppriseNotifications("Myiarchus crinitus_Great Crested Flycatcher", "91", "filename", settings_dict, "test.db")
+    assert(notify_call.call_count == 3)
@@ -0,0 +1,44 @@
+from scripts.utils.parse_settings import config_to_settings
+import tempfile
+
+
+def test():
+    text = """LATITUDE=32.0
+LONGITUDE=-73.0
+BIRDWEATHER_ID=
+CADDY_PWD="nonsuchpass"
+ICE_PWD=birdnetpi
+BIRDNETPI_URL=
+RTSP_STREAM=
+APPRISE_NOTIFICATION_TITLE="Bird!"
+APPRISE_NOTIFICATION_BODY="A $comname ($sciname) was just detected with a confidence of $confidence"
+APPRISE_NOTIFY_EACH_DETECTION=0
+APPRISE_NOTIFY_NEW_SPECIES=1
+FLICKR_API_KEY=
+FLICKR_FILTER_EMAIL=
+RECS_DIR=/home/pi/BirdSongs
+REC_CARD=default
+PROCESSED=/home/pi/BirdSongs/Processed
+EXTRACTED=/home/pi/BirdSongs/Extracted
+OVERLAP=0.0
+CONFIDENCE=0.7
+SENSITIVITY=1.25
+CHANNELS=2
+FULL_DISK=purge
+PRIVACY_THRESHOLD=0
+RECORDING_LENGTH=15
+EXTRACTION_LENGTH=
+AUDIOFMT=mp3
+DATABASE_LANG=en
+LAST_RUN=
+THIS_RUN=
+IDFILE=/home/pi/BirdNET-Pi/IdentifiedSoFar.txt"""
+
+    filename = tempfile.NamedTemporaryFile(suffix='.txt', delete=False)
+    with open(filename.name, 'w', encoding='utf8', newline='') as f:
+        f.write(text)
+
+    settings = config_to_settings(filename.name)
+    assert(settings["APPRISE_NOTIFICATION_TITLE"] == "Bird!")
+    assert(settings["FULL_DISK"] == "purge")
+    assert(settings["OVERLAP"] == "0.0")  # Yes, it's a string at this point.