common.py

import azure.identity
import pandas as pd
import matplotlib.patheffects as pe


def get_credential() -> azure.identity.ChainedTokenCredential:
    credential_chain = (
        azure.identity.EnvironmentCredential(),
        azure.identity.AzureCliCredential(),
        azure.identity.ManagedIdentityCredential(),
    )
    credential = azure.identity.ChainedTokenCredential(*credential_chain)
    return credential


#


# GLOBAL VARIABLES
NCPU = 5
STORAGE_AZ = {"account_name": "seareport", "credential": get_credential()}
CONTAINER = "global-v1"
SKILL_SETTINGS = [
    {"skill_param": "RMSE", "vmin": 0, "vmax": 1},
    {"skill_param": "Mean Absolute Error", "vmin": 0, "vmax": 1},
    {"skill_param": "BIAS or mean error", "vmin": -0.5, "vmax": 0.5},
    {"skill_param": "Standard deviation of residuals", "vmin": -0.5, "vmax": 0.5},
]
KURTOSIS_THRESHOLD = 20
#
NOW = pd.Timestamp.now(tz="UTC")
START = NOW - pd.Timedelta(days=30)
BASE_URL = "https://www.ioc-sealevelmonitoring.org/service.php?query=data&timestart={start}&timestop={end}&code={ioc_code}"
VALID_SENSORS = {
    "rad",
    "prs",
    "enc",
    "pr1",
    "PR2",
    "pr2",
    "ra2",
    "bwl",
    "wls",
    "aqu",
    "ras",
    "pwl",
    "bub",
    "enb",
    "atm",
    "flt",
    "ecs",
    "stp",
    "prte",
    "prt",
    "ra3",
}
SEASET_CATALOG = pd.read_csv(
    "https://raw.githubusercontent.com/tomsail/seaset/main/Notebooks/catalog_full.csv",
    index_col=0,
)

OPTS = {  # tidal analysis options
    "conf_int": "linear",
    "constit": "auto",
    "method": "ols",  # ols is faster and good for missing data (Ponchaut et al., 2001)
    "order_constit": "frequency",
    "Rayleigh_min": 0.97,
    "lat": None,
    "verbose": False,
}  # careful if there is only one Nan parameter, the analysis crashes
# plot
PROPS = dict(boxstyle="round", facecolor="white", alpha=0.5)
WHITE_STROKE = [pe.withStroke(linewidth=2, foreground="w")]
#
COASTLINES = {  # tuple of lon min, lon max, lat min, lat max
    "UK East": (
        -1.76,
        1.76,
        51.0,
        55.81,
    ),  # East coast of the UK from roughly the Thames estuary to the Scottish border
    "Denmark and Germany": (6.0, 14.0, 53.39, 57.75),  # German North Sea coastline
    "Belgium and NL": (2.54, 7.22, 51.0, 53.55),  # Belgian coastline
    "UK West and Ireland": (
        -10.56,
        -5.34,
        50.0,
        58.67,
    ),  # West coast of the UK and the entire coast of Ireland
    "English Channel": (-5.72, 1.76, 49.95, 51.14),  # English Channel coastline
    "French Channel": (
        -5.13,
        2.54,
        48.63,
        51.1,
    ),  # French coastline along the English Channel
    "French Gulf of Gascogne": (
        -4.79,
        3.09,
        43.39,
        48.63,
    ),  # French coast along the Bay of Biscay
    "Spain Gulf of Gascogne": (
        -9.3,
        -1.77,
        43.33,
        48.0,
    ),  # Spanish coast along the Bay of Biscay
    "Portugal": (-9.5, -6.19, 36.98, 42.15),  # Portuguese coastline along the Atlantic
    "Spain Atlantic": (
        -9.5,
        -6.19,
        36.0,
        43.79,
    ),  # Spanish coastline along the Atlantic excluding the Gulf of Gascogne
    "Med Spain": (-0.32, 4.32, 36.0, 43.79),  # Spanish Mediterranean coastline
    "Med France": (3.09, 7.85, 42.33, 43.93),  # French Mediterranean coastline
    "Med Ligure": (7.0, 10.0, 43.0, 44.4),  # Ligurian Sea coast of Italy and France
    "Italy mainland west": (10.0, 18.5, 38.0, 43.0),  # West coast of mainland Italy
    "Med Sardegna": (8.13, 9.7, 38.86, 41.26),  # Coastline of Sardinia, Italy
    "Med Corsica": (8.56, 9.56, 41.37, 43.01),  # Coastline of Corsica, France
    "Med Sicilia": (12.0, 16.0, 36.65, 38.7),  # Coastline of Sicily, Italy
    "Med Ionian": (15.65, 18.17, 36.5, 40.3),  # Ionian Sea coast of Italy and Greece
    "Adriatic": (12.0, 19.6, 40.0, 45.8),  # Adriatic Sea coast from Italy to Croatia
    "Europe": (-42.80, 72.80, 15.00, 71.00),
    "East Coast US + Gulf of Mexico": (-105.48, -56.52, 25.00, 47.00),
    "Oceania": (120, 180, -47.00, 0.00),
    "West Coast US": (-150.05, -100.95, 32.00, 55.00),
}