getMPOC_Sci.py
Science quality MODIS-Aqua particulate organic carbon (POC) retrieval.
"""
Retrieve and publish science-quality MODIS-Aqua particulate organic carbon.
This script queries the NASA OceanColor file search API for MODIS-Aqua
Level-3 mapped science-quality particulate organic carbon (POC) products,
compares the returned filenames against files already staged in the production
Google Cloud Storage (GCS) bucket, downloads only missing files to the Cloud
Run container, publishes them with send_to_servers(), and removes local
temporary files.
Product
-------
- prod_id: poc
- dataset family: MPOC
Periods
-------
- DAY -> 1day
- 8D -> 8day
- MO -> mday
NASA query settings
-------------------
- sensor_id: 7 (MODIS-Aqua)
- dtid: 1102
- resolution_id: 4km
- stream: science quality / standard delayed
Output
------
Files are published under the MPOC GCS path family, with period-specific
subdirectories. Science-quality paths do not use the _NRT suffix.
Runtime requirements
--------------------
- ROYLIB_CONFIG points to the runtime config.yml file.
- Earthdata .netrc and URS cookies are available under /tmp.
- The Cloud Run service account can read and write the configured GCS bucket.
Usage
-----
python getMPOC_Sci.py
"""
if __name__ == "__main__":
from datetime import datetime
import os
import subprocess
from pathlib import Path
from roylib import *
for _k in ("ERDPROD_BUCKET", "HOME_DIR", "NASA_OCEANDATA_URL"):
if not CFG.get(_k):
raise KeyError(f"CFG['{_k}'] is required but not set")
now = datetime.now()
start_date = f"{now.year}-01-01"
end_date = now.strftime("%Y-%m-%d")
bucket_name = CFG.get("ERDPROD_BUCKET")
periods = {
"DAY": {"dir": "1day", "flag": "1"},
"8D": {"dir": "8day", "flag": "8"},
"MO": {"dir": "mday", "flag": "m"}
}
home_dir = Path(CFG.get("HOME_DIR", "/tmp"))
cookie_path = home_dir / ".urs_cookies"
download_dir = home_dir / "data"
download_dir.mkdir(parents=True, exist_ok=True)
for nasa_per, per_info in periods.items():
stage_dir = f"satellite/MPOC/{per_info['dir']}"
print(f"\n[START] Processing MPOC Science {nasa_per} -> {stage_dir}")
raw_staged = list_bucket_content(bucket_name, stage_dir)
staged_flist = [os.path.basename(f).strip() for f in raw_staged] if raw_staged else []
# dtid=1102 for Standard Science Quality
query_params = (
f"results_as_file=1&sensor_id=7&dtid=1102&subType=1&resolution_id=4km"
f"&sdate={start_date} 00:00:00&edate={end_date} 23:59:59"
f"&prod_id=poc&period={nasa_per}"
)
query_url = f'{CFG["NASA_FILE_SEARCH_URL"]} --post-data="{query_params}"'
query_out = home_dir / "resources" / f"mpoc_sci_{nasa_per}_fileNames.txt"
query_out.parent.mkdir(parents=True, exist_ok=True)
subprocess.run(f"wget -4 --no-check-certificate -O {query_out} {query_url}", shell=True, capture_output=True)
if not query_out.exists(): continue
with open(query_out, "r") as f:
for line in f:
fname = line.strip()
if not fname or "No Results Found" in fname or "<html" in fname.lower():
continue
if fname not in staged_flist:
out_path = download_dir / fname
print(f"[PROCESS] Downloading {fname}")
wget_cmd = (
f'wget -4 --netrc --auth-no-challenge=on --keep-session-cookies '
f'--load-cookies {cookie_path} --save-cookies {cookie_path} '
f'--content-disposition --no-check-certificate '
f'-O "{out_path}" {CFG["NASA_GETFILE_URL"]}/{fname}'
)
result = subprocess.run(wget_cmd, shell=True, capture_output=True)
if result.returncode == 0:
try:
# Published to MPOC (no _NRT suffix)
send_to_servers(str(out_path), "MPOC", per_info['flag'])
finally:
if out_path.exists(): os.remove(out_path)
print("\n[COMPLETE] MPOC Science Suite finished.")