diff --git a/scripts/server.py b/scripts/server.py index 38a06fc..8c681b5 100755 --- a/scripts/server.py +++ b/scripts/server.py @@ -1,4 +1,16 @@ -import socket +import apprise +from pathlib import Path +from tzlocal import get_localzone +import datetime +import sqlite3 +import requests +import json +import time +import math +import numpy as np +import librosa +import operator +import socket import threading import os os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' @@ -6,26 +18,9 @@ os.environ['CUDA_VISIBLE_DEVICES'] = '' try: import tflite_runtime.interpreter as tflite -except: +except BaseException: from tensorflow import lite as tflite -import argparse -import operator -import librosa -import numpy as np -import math -import time -from decimal import Decimal -import json -import requests -import sqlite3 -import datetime -from time import sleep -import pytz -from tzlocal import get_localzone -from pathlib import Path -import apprise - HEADER = 64 PORT = 5050 @@ -37,10 +32,9 @@ DISCONNECT_MESSAGE = "!DISCONNECT" server = socket.socket(socket.AF_INET, socket.SOCK_STREAM) try: server.bind(ADDR) -except: +except BaseException: print("Waiting on socket") time.sleep(5) - # Open most recent Configuration and grab DB_PWD as a python variable @@ -48,7 +42,7 @@ 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]) - priv_thresh = float("." + str(str(str([i for i in this_run if i.startswith('PRIVACY_THRESHOLD')]).split('=')[1]).split('\\')[0]))/10 + priv_thresh = float("." + str(str(str([i for i in this_run if i.startswith('PRIVACY_THRESHOLD')]).split('=')[1]).split('\\')[0])) / 10 def loadModel(): @@ -62,7 +56,7 @@ def loadModel(): # Load TFLite model and allocate tensors. modelpath = userDir + '/BirdNET-Pi/model/BirdNET_6K_GLOBAL_MODEL.tflite' - myinterpreter = tflite.Interpreter(model_path=modelpath,num_threads=2) + myinterpreter = tflite.Interpreter(model_path=modelpath, num_threads=2) myinterpreter.allocate_tensors() # Get input and output tensors. @@ -85,6 +79,7 @@ def loadModel(): return myinterpreter + def loadCustomSpeciesList(path): slist = [] @@ -95,6 +90,7 @@ def loadCustomSpeciesList(path): return slist + def splitSignal(sig, rate, overlap, seconds=3.0, minlen=1.5): # Split signal with overlap @@ -105,17 +101,18 @@ def splitSignal(sig, rate, overlap, seconds=3.0, minlen=1.5): # End of signal? if len(split) < int(minlen * rate): break - + # Signal chunk too short? Fill with zeros. if len(split) < int(rate * seconds): temp = np.zeros((int(rate * seconds))) temp[:len(split)] = split split = temp - + sig_splits.append(split) return sig_splits + def readAudioData(path, overlap, sample_rate=48000): print('READING AUDIO DATA...', end=' ', flush=True) @@ -130,11 +127,12 @@ def readAudioData(path, overlap, sample_rate=48000): return chunks + def convertMetadata(m): # Convert week to cosine if m[2] >= 1 and m[2] <= 48: - m[2] = math.cos(math.radians(m[2] * 7.5)) + 1 + m[2] = math.cos(math.radians(m[2] * 7.5)) + 1 else: m[2] = -1 @@ -147,9 +145,11 @@ def convertMetadata(m): return np.concatenate([m, mask]) + def custom_sigmoid(x, sensitivity=1.0): return 1 / (1.0 + np.exp(-sensitivity * x)) + def predict(sample, sensitivity): global INTERPRETER # Make a prediction @@ -166,21 +166,22 @@ def predict(sample, sensitivity): # Sort by score p_sorted = sorted(p_labels.items(), key=operator.itemgetter(1), reverse=True) - -# #print("DATABASE SIZE:", len(p_sorted)) -# #print("HUMAN-CUTOFF AT:", int(len(p_sorted)*priv_thresh)/10) -# + +# # print("DATABASE SIZE:", len(p_sorted)) +# # print("HUMAN-CUTOFF AT:", int(len(p_sorted)*priv_thresh)/10) +# # # Remove species that are on blacklist - human_cutoff = max(10,int(len(p_sorted)*priv_thresh)) + human_cutoff = max(10, int(len(p_sorted) * priv_thresh)) for i in range(min(10, len(p_sorted))): - if p_sorted[i][0]=='Human_Human': + if p_sorted[i][0] == 'Human_Human': with open(userDir + '/BirdNET-Pi/HUMAN.txt', 'a') as rfile: - rfile.write(str(datetime.datetime.now())+str(p_sorted[i])+ ' ' + str(human_cutoff)+ '\n') + rfile.write(str(datetime.datetime.now()) + str(p_sorted[i]) + ' ' + str(human_cutoff) + '\n') return p_sorted[:human_cutoff] + def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap,): global INTERPRETER @@ -202,29 +203,30 @@ def analyzeAudioData(chunks, lat, lon, week, sensitivity, overlap,): # Make prediction p = predict([sig, mdata], sensitivity) # print("PPPPP",p) - HUMAN_DETECTED=False - - #Catch if Human is recognized + HUMAN_DETECTED = False + + # Catch if Human is recognized for x in range(len(p)): if "Human" in p[x][0]: - HUMAN_DETECTED=True - + HUMAN_DETECTED = True + # Save result and timestamp pred_end = pred_start + 3.0 - - #If human detected set all detections to human to make sure voices are not saved - if HUMAN_DETECTED == True: - p=[('Human_Human',0.0)]*10 + + # If human detected set all detections to human to make sure voices are not saved + if HUMAN_DETECTED is True: + p = [('Human_Human', 0.0)] * 10 detections[str(pred_start) + ';' + str(pred_end)] = p - + pred_start = pred_end - overlap print('DONE! Time', int((time.time() - start) * 10) / 10.0, 'SECONDS') # print('DETECTIONS:::::',detections) return detections -def sendAppriseNotifications(species,confidence): + +def sendAppriseNotifications(species, confidence): 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() @@ -237,39 +239,40 @@ def sendAppriseNotifications(species,confidence): 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("$confidence",confidence), + body=body.replace("$sciname", species.split("_")[0]).replace("$comname", species.split("_")[1]).replace("$confidence", confidence), title=title, ) if str(str(str([i for i in this_run if i.startswith('APPRISE_NOTIFY_NEW_SPECIES')]).split('=')[1]).split('\\')[0]) == "1": - try: + try: con = sqlite3.connect(userDir + '/BirdNET-Pi/scripts/birds.db') con.row_factory = lambda cursor, row: row[0] cur = con.cursor() cur.execute("SELECT DISTINCT(Com_Name) FROM detections") known_species = cur.fetchall() - sciName,comName = species.split("_") - - print("\ncomName: ",comName) - print("\nknown_species: ",known_species) + sciName, comName = species.split("_") + + print("\ncomName: ", comName) + print("\nknown_species: ", known_species) if comName not in known_species: 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("$confidence",confidence), - title=title, + body=body.replace("$sciname", species.split("_")[0]).replace("$comname", species.split("_")[1]).replace("$confidence", confidence), + title=title, ) - + con.close() - except: + except BaseException: print("Database busy") time.sleep(2) + def writeResultsToFile(detections, min_conf, path): print('WRITING RESULTS TO', path, '...', end=' ') @@ -278,17 +281,18 @@ def writeResultsToFile(detections, min_conf, path): rfile.write('Start (s);End (s);Scientific name;Common name;Confidence\n') for d in detections: 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) ): - sendAppriseNotifications(str(entry[0]),str(entry[1])); + 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)): + sendAppriseNotifications(str(entry[0]), str(entry[1])) rfile.write(d + ';' + entry[0].replace('_', ';') + ';' + str(entry[1]) + '\n') rcnt += 1 print('DONE! WROTE', rcnt, 'RESULTS.') return + def handle_client(conn, addr): global INCLUDE_LIST global EXCLUDE_LIST - #print(f"[NEW CONNECTION] {addr} connected.") + # print(f"[NEW CONNECTION] {addr} connected.") connected = True while connected: @@ -299,10 +303,10 @@ def handle_client(conn, addr): if msg == DISCONNECT_MESSAGE: connected = False else: - #print(f"[{addr}] {msg}") - + # print(f"[{addr}] {msg}") + args = type('', (), {})() - + args.i = '' args.o = '' args.birdweather_id = '99999' @@ -313,8 +317,7 @@ def handle_client(conn, addr): args.sensitivity = 1.25 args.min_conf = 0.70 args.lat = -1 - args.lon = -1 - + args.lon = -1 for line in msg.split('||'): inputvars = line.split('=') @@ -341,14 +344,12 @@ def handle_client(conn, addr): elif inputvars[0] == 'lon': args.lon = float(inputvars[1]) - - # Load custom species lists - INCLUDED and EXCLUDED if not args.include_list == 'null': INCLUDE_LIST = loadCustomSpeciesList(args.include_list) else: INCLUDE_LIST = [] - + if not args.exclude_list == 'null': EXCLUDE_LIST = loadCustomSpeciesList(args.exclude_list) else: @@ -360,22 +361,22 @@ def handle_client(conn, addr): audioData = readAudioData(args.i, args.overlap) # Get Date/Time from filename in case Pi gets behind - #now = datetime.now() + # now = datetime.now() full_file_name = args.i - #print('FULL FILENAME: -' + full_file_name + '-') + # print('FULL FILENAME: -' + full_file_name + '-') file_name = Path(full_file_name).stem file_date = file_name.split('-birdnet-')[0] file_time = file_name.split('-birdnet-')[1] date_time_str = file_date + ' ' + file_time date_time_obj = datetime.datetime.strptime(date_time_str, '%Y-%m-%d %H:%M:%S') - #print('Date:', date_time_obj.date()) - #print('Time:', date_time_obj.time()) + # print('Date:', date_time_obj.date()) + # print('Time:', date_time_obj.time()) print('Date-time:', date_time_obj) now = date_time_obj current_date = now.strftime("%Y-%m-%d") current_time = now.strftime("%H:%M:%S") current_iso8601 = now.astimezone(get_localzone()).isoformat() - + week_number = int(now.strftime("%V")) week = max(1, min(week_number, 48)) @@ -387,32 +388,32 @@ def handle_client(conn, addr): # Write detections to output file min_conf = max(0.01, min(args.min_conf, 0.99)) writeResultsToFile(detections, min_conf, args.o) - - ############################################################################### - ############################################################################### - + + ############################################################################### + ############################################################################### + soundscape_uploaded = False # Write detections to Database myReturn = '' for i in detections: - myReturn += str(i) + '-' + str(detections[i][0]) + '\n' - - + myReturn += str(i) + '-' + str(detections[i][0]) + '\n' + with open(userDir + '/BirdNET-Pi/BirdDB.txt', 'a') as rfile: for d in detections: 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) ): - 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') - + 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)): + 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') + Date = str(current_date) Time = str(current_time) species = entry[0] - Sci_Name,Com_Name = species.split('_') + Sci_Name, Com_Name = species.split('_') score = entry[1] - Confidence = str(round(score*100)) + Confidence = str(round(score * 100)) Lat = str(args.lat) Lon = str(args.lon) Cutoff = str(args.min_conf) @@ -421,31 +422,63 @@ def handle_client(conn, addr): Overlap = str(args.overlap) Com_Name = Com_Name.replace("'", "") File_Name = Com_Name.replace(" ", "_") + '-' + Confidence + '-' + \ - Date.replace("/", "-") + '-birdnet-' + Time + audiofmt + Date.replace("/", "-") + '-birdnet-' + Time + audiofmt - #Connect to SQLite Database + # Connect to SQLite Database for attempt_number in range(3): - try: + try: con = sqlite3.connect(userDir + '/BirdNET-Pi/scripts/birds.db') 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)) + cur.execute("INSERT INTO detections VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", (Date, Time, + Sci_Name, Com_Name, str(score), Lat, Lon, Cutoff, Week, Sens, Overlap, File_Name)) con.commit() con.close() break - except: + except BaseException: print("Database busy") time.sleep(2) - print(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) + Com_Name.replace(" ", "_") + '-' + str(score) + '-' + str(current_date) + '-birdnet-' + str(current_time) + audiofmt + '\n') + print(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) + + Com_Name.replace(" ", "_") + + '-' + + str(score) + + '-' + + str(current_date) + + '-birdnet-' + + str(current_time) + + audiofmt + + '\n') if birdweather_id != "99999": try: if soundscape_uploaded is False: # POST soundscape to server - soundscape_url = "https://app.birdweather.com/api/v1/stations/" + birdweather_id + "/soundscapes" + "?timestamp=" + current_iso8601 - + soundscape_url = 'https://app.birdweather.com/api/v1/stations/' + \ + birdweather_id + \ + '/soundscapes' + \ + '?timestamp=' + \ + current_iso8601 + with open(args.i, 'rb') as f: wav_data = f.read() response = requests.post(url=soundscape_url, data=wav_data, headers={'Content-Type': 'application/octet-stream'}) @@ -453,7 +486,7 @@ def handle_client(conn, addr): sdata = response.json() soundscape_id = sdata['soundscape']['id'] soundscape_uploaded = True - + # POST detection to server detection_url = "https://app.birdweather.com/api/v1/stations/" + birdweather_id + "/detections" start_time = d.split(';')[0] @@ -461,7 +494,7 @@ def handle_client(conn, addr): post_begin = "{ " now_p_start = now + datetime.timedelta(seconds=float(start_time)) current_iso8601 = now_p_start.astimezone(get_localzone()).isoformat() - post_timestamp = "\"timestamp\": \"" + current_iso8601 + "\"," + post_timestamp = "\"timestamp\": \"" + current_iso8601 + "\"," post_lat = "\"lat\": " + str(args.lat) + "," post_lon = "\"lon\": " + str(args.lon) + "," post_soundscape_id = "\"soundscapeId\": " + str(soundscape_id) + "," @@ -472,31 +505,33 @@ def handle_client(conn, addr): post_algorithm = "\"algorithm\": " + "\"alpha\"" + "," post_confidence = "\"confidence\": " + str(entry[1]) post_end = " }" - - post_json = post_begin + post_timestamp + post_lat + post_lon + post_soundscape_id + post_soundscape_start_time + post_soundscape_end_time + post_commonName + post_scientificName + post_algorithm + post_confidence + post_end + + post_json = post_begin + post_timestamp + post_lat + post_lon + post_soundscape_id + post_soundscape_start_time + \ + post_soundscape_end_time + post_commonName + post_scientificName + post_algorithm + post_confidence + post_end print(post_json) response = requests.post(detection_url, json=json.loads(post_json)) print("Detection POST Response Status - ", response.status_code) - except: + except BaseException: print("Cannot POST right now") conn.send(myReturn.encode(FORMAT)) - #time.sleep(3) + # time.sleep(3) + + conn.close() - conn.close() def start(): # Load model global INTERPRETER, INCLUDE_LIST, EXCLUDE_LIST INTERPRETER = loadModel() server.listen() - #print(f"[LISTENING] Server is listening on {SERVER}") + # print(f"[LISTENING] Server is listening on {SERVER}") while True: conn, addr = server.accept() thread = threading.Thread(target=handle_client, args=(conn, addr)) thread.start() - #print(f"[ACTIVE CONNECTIONS] {threading.activeCount() - 1}") + # print(f"[ACTIVE CONNECTIONS] {threading.activeCount() - 1}") -#print("[STARTING] server is starting...") +# print("[STARTING] server is starting...") start()