def load_dbc_files(dbc_paths):
"""Given a list of DBC file paths, create a list of conversion rule databases"""
import can_decoder
from pathlib import Path
db_list = []
for dbc in dbc_paths:
db = can_decoder.load_dbc(Path(__file__).parent / dbc)
db_list.append(db)
return db_list
from utils import setup_fs, setup_fs_s3
# specify which devices to process (from local folder or S3 bucket)
devices = ["LOG/958D2219"]
# specify which time period to fetch log files for
start = datetime(year=2020, month=1, day=13, hour=0, minute=0, tzinfo=timezone.utc)
stop = datetime(year=2099, month=1, day=1, tzinfo=timezone.utc)
# specify DBC path
dbc_path = r"CSS-Electronics-SAE-J1939-DEMO.dbc"
# ---------------------------------------------------
# initialize DBC converter and file loader
db = can_decoder.load_dbc(dbc_path)
df_decoder = can_decoder.DataFrameDecoder(db)
# fs = setup_fs_s3()
fs = setup_fs()
# List log files based on inputs
log_files = canedge_browser.get_log_files(fs, devices, start_date=start, stop_date=stop)
print(f"Found a total of {len(log_files)} log files")
df_concat = []
for log_file in log_files:
# open log file, get device id and extract dataframe with raw CAN data
print(f"\nProcessing log file: {log_file}")
with fs.open(log_file, "rb") as handle: