Vessel Metadata

from aisdb.webdata._scraper import search_metadata_vesselfinder

MMSI = 228386800
dict_ = search_metadata_vesselfinder(MMSI)

print(dict_)

{'IMO number': '9839131',
 'Vessel Name': 'CMA CGM CHAMPS ELYSEES',
 'Ship type': 'Container Ship',
 'Flag': 'France',
 'Homeport': '-',
 'Gross Tonnage': '236583',
 'Summer Deadweight (t)': '220766',
 'Length Overall (m)': '400',
 'Beam (m)': '61',
 'Draught (m)': '',
 'Year of Build': '2020',
 'Builder': '',
 'Place of Build': '',
 'Yard': '',
 'TEU': '',
 'Crude Oil (bbl)': '-',
 'Gas (m3)': '-',
 'Grain': '-',
 'Bale': '-',
 'Classification Society': '',
 'Registered Owner': '',
 'Owner Address': '',
 'Owner Website': '-',
 'Owner Email': '-',
 'Manager': '',
 'Manager Address': '',
 'Manager Website': '',
 'Manager Email': '',
 'Predicted ETA': '',
 'Distance / Time': '',
 'Course / Speed': '\xa0',
 'Current draught': '16.0 m',
 'Navigation Status': '\nUnder way\n',
 'Position received': '\n22 mins ago \n\n\n',
 'IMO / MMSI': '9839131 / 228386800',
 'Callsign': 'FLZF',
 'Length / Beam': '399 / 61 m'}

import requests

# Your MarineTraffic API key
api_key = 'your_marine_traffic_api_key'

# List of MMSI numbers you want to query
mmsi = [228386800,
        372351000,
        373416000,
        477003800,
        477282400
]

# Base URL for the MarineTraffic API endpoint
url = f'https://services.marinetraffic.com/api/exportvessels/{api_key}'

# Prepare the API request
params = {
    'shipid': ','.join(mmsi_list),  # Join MMSI list with commas
    'protocol': 'jsono',            # Specify the response format
    'msgtype': 'extended'           # Specify the level of details
}

# Make the API request
response = requests.get(url, params=params)

# Check if the request was successful
if response.status_code == 200:
    vessel_data = response.json()
    
    for vessel in vessel_data:
        print(f"Vessel Name: {vessel.get('NAME')}")
        print(f"MMSI: {vessel.get('MMSI')}")
        print(f"IMO: {vessel.get('IMO')}")
        print(f"Call Sign: {vessel.get('CALLSIGN')}")
        print(f"Type: {vessel.get('TYPE_NAME')}")
        print(f"Flag: {vessel.get('COUNTRY')}")
        print(f"Length: {vessel.get('LENGTH')}")
        print(f"Breadth: {vessel.get('BREADTH')}")
        print(f"Year Built: {vessel.get('YEAR_BUILT')}")
        print(f"Status: {vessel.get('STATUS_NAME')}")
        print('-' * 40)
else:
    print(f"Failed to retrieve data: {response.status_code}")

from aisdb import track_gen, decode_msgs, DBQuery, sqlfcn_callbacks, Domain
from datetime import datetime 

dbpath = "/home/database.db"
start = datetime(2021, 11, 1)
end = datetime(2021, 11, 2)

with DBConn(dbpath="/home/data_sample_dynamic.csv.db") as dbconn:
        qry = aisdb.DBQuery(
             dbconn=dbconn, callback=in_timerange,
             start=datetime(2020, 1, 1, hour=0),
             end=datetime(2020, 12, 3, hour=2)
        )
        # A new database will be created if it does not exist to save the downloaded info from MarineTraffic
        traffic_database_path = "/home/traffic_info.db"
       
        # User can select a custom boundary for a query using aisdb.Domain
        qry.check_marinetraffic(trafficDBpath=, boundary={"xmin":-180, "xmax":180, "ymin":-180,  "ymax":180})
        
        rowgen = qry.gen_qry(verbose=True)
        trackgen = track_gen.TrackGen(rowgen, decimate=True)