def main():
base_dir, dry_run = process_input()
for rec, pth in get_all_records(base_dir):
print("\n\n******************\n")
print("processing:", rec.oil_id, rec.metadata.name)
fixer = FixAPI(rec)
flag, msg = fixer.check()
if flag is True:
print(msg)
print("Cleaning up!")
fixer.cleanup()
print("API is now:", rec.metadata.API)
if not dry_run:
print("Saving out:", pth)
rec.to_file(pth)
else:
print("Nothing saved")
elif flag is False:
print(msg)
print("It's a:", rec.metadata.product_type)
print("Densities are:",
rec.sub_samples[0].physical_properties.densities)
else:
print(msg)
def run_through():
base_dir, dry_run = process_input(USAGE=USAGE)
# read the data file
with open("ADIOS_Locations.csv") as infile:
infile.readline()
data = {}
for line in infile:
if line.strip():
line = line.strip().split("|")
line = [s.strip() for s in line]
ID, __, type, coords, __ = line
coords = literal_eval(coords)
data[ID] = (type, coords)
for id, coord_info in data.items():
pth = Path(base_dir) / id[:2] / (id + ".json")
oil = Oil.from_file(pth)
name = oil.metadata.name
oil.metadata.location_coordinates = LocationCoordinates(*coord_info)
print("\nProcessing:", id, name)
print("adding:", coord_info)
if not dry_run:
print("Saving out:", pth)
oil.to_file(pth)
else:
print("Dry Run: Nothing saved")
def main():
base_dir, dry_run = ads.process_input(USAGE)
count = 0
for rec, pth in ads.get_all_records(base_dir):
# print("\n\n******************\n")
# print("processing:", rec.oil_id)
# print("API is:", rec.metadata.API)
reference = rec.metadata.reference
if (reference.year in {1990, 1996, 1990, 1999, 1992}
and "Jokuty" in reference.reference):
# rec.metadata.comments = "\n".join((rec.metadata.comments, ADDED_COMMENT)).strip()
if NEW_COMMENT not in rec.metadata.comments:
count += 1
if rec.metadata.comments:
rec.metadata.comments = "\n\n".join(
(rec.metadata.comments, NEW_COMMENT))
else:
rec.metadata.comments = NEW_COMMENT
print("Adding note to:", rec.oil_id)
print(reference.reference)
# rec.metadata.comments = rec.metadata.comments.replace(OLD_COMMENT,
# NEW_COMMENT)
if not dry_run:
print("Saving out:", pth)
rec.to_file(pth)
else:
print("Nothing saved")
print(f"{count} records changed")
def main():
base_dir, dry_run = process_input()
for rec, pth in get_all_records(base_dir):
print("\n\n******************\n")
print("processing:", rec.oil_id, rec.metadata.name)
# loop through the subsamples
for ss in rec.sub_samples:
pp = ss.physical_properties
move_ift_note(pp.interfacial_tension_water)
move_ift_note(pp.interfacial_tension_air)
move_ift_note(pp.interfacial_tension_seawater)
if not dry_run:
print("Saving out:", pth)
rec.to_file(pth)
else:
print("Nothing saved")
def run_through():
base_dir, dry_run = process_input(USAGE=USAGE)
for oil, pth in get_all_records(base_dir):
id = oil.oil_id
name = oil.metadata.name
location = oil.metadata.location
if location.lower() == orig_location:
print("\nProcessing:", id, name)
print("changing location to:", new_location)
oil.metadata.location = new_location
if not dry_run:
print("Saving out:", pth)
oil.to_file(pth)
else:
print("Dry Run: Nothing saved")
def main():
base_dir, dry_run = ads.process_input(USAGE)
print("writing: adios_distillation_data.csv")
outfile = open("adios_distillation_data.csv", 'w')
outfile.write(
f"Oil ID\tName\tReference\tdistillation_method\tfraction_recovered\n")
for rec, pth in ads.get_all_records(base_dir):
ID = rec.oil_id
name = rec.metadata.name
reference = rec.metadata.reference.reference
dist_method = rec.sub_samples[0].distillation_data.method
frac_recov = rec.sub_samples[0].distillation_data.fraction_recovered
outfile.write(
f'{ID} \t"{name}" \t"{reference}" \t{dist_method} \t{frac_recov}\n'
)
def add_the_labels():
# Look for "replace"
try:
sys.argv.remove("replace")
replace = True
except ValueError:
replace = False
base_dir, dry_run = process_input(USAGE)
with open("labels.csv", 'w') as outfile:
outfile.write("ID, Name, Product Type, Labels\n")
for oil, pth in get_all_records(base_dir):
id = oil.oil_id
name = oil.metadata.name
pt = oil.metadata.product_type
print("\nFor Oil:", id, name)
try:
labels = get_suggested_labels(oil)
print(labels)
if not replace:
labels.update(oil.metadata.labels)
outfile.write(f"{id}, {name}, {pt}, {str(labels).strip('{}')}\n")
if not dry_run:
print("Saving out:", pth)
oil.metadata.labels = list(labels)
oil.to_file(pth)
else:
print("Nothing saved")
except: # if anything goes wrong, we won't add an labels
print("Something went wrong -- no labels")
print("output written to: labels.txt")
def run_through():
base_dir, dry_run = process_input(USAGE=USAGE)
print("Processing JSON files in:", base_dir)
pth = None
for pth in sorted(base_dir.rglob("*.json")):
print("processing:", pth)
try:
oil = Oil.from_file(pth)
except Exception as ex:
print("Something went wrong loading:", pth)
print(ex)
raise
if not dry_run:
print("Saving out:", pth)
oil.to_file(pth)
else:
print("Dry Run: Nothing saved")
if pth is None:
print("No files were found in:", base_dir)
def run_through():
base_dir, dry_run = process_input(USAGE=USAGE)
new_ref = ('Environment and Climate Change Canada, Environment '
'Canada Crude Oil and Petroleum Product Database, '
'Environment and Climate Change Canada, 2021.\n\n'
'url: https://open.canada.ca/data/en/dataset/'
'53c38f91-35c8-49a6-a437-b311703db8c5')
for oil, pth in get_all_records(base_dir):
id = oil.oil_id
name = oil.metadata.name
if id[:2] == 'EC':
print("\nProcessing:", id, name)
print("changing reference to:", new_ref)
oil.metadata.reference.reference = new_ref
if not dry_run:
print("Saving out:", pth)
oil.to_file(pth)
else:
print("Dry Run: Nothing saved")
def add_them(data):
missing = open("missing_records.csv", 'w', encoding="utf-8")
name_mismatch = open("name_mismatch_records.csv", 'w', encoding="utf-8")
base_dir, dry_run = process_input(USAGE)
for oil, pth in get_all_records(base_dir):
ID = oil.oil_id
try:
row = data[ID]
except KeyError:
print(f"{ID} not in the spreadsheet")
missing.write(",".join([ID, oil.metadata.name]))
name_mismatch.write("\n")
continue
name = row[0]
print("Processing:", ID)
if name == oil.metadata.name:
anames = [name.strip() for name in row[10].strip().split(",")]
# clean out the duplicates
anames = [n for n in anames if n.lower() not in name.lower()]
if anames:
oil.metadata.alternate_names = anames
print("Adding:", oil.oil_id, oil.metadata.name,
oil.metadata.alternate_names)
if not dry_run:
print("Saving out:", pth)
oil.to_file(pth)
else:
print("Nothing saved")
else:
print("Name doesn't match!", name, oil.metadata.name)
name_mismatch.write(",".join([ID, oil.metadata.name, name]))
name_mismatch.write("\n")
#!/usr/bin/env python
"""
This script looks at the distillation type, and sets the unit_type properly
"""
from adios_db.models.oil.cleanup.distillation import FixCutUnitType
import adios_db.scripting as ads
json_data_dir, dry_run = ads.process_input()
# Read the data
for rec, pth in ads.get_all_records(json_data_dir):
print("processing:", rec.oil_id)
fixer = FixCutUnitType(rec)
flag, msg = fixer.check()
if flag is True:
print(msg)
print("Cleaning up!")
fixer.cleanup()
if not dry_run:
print("Saving out:", pth)
rec.to_file(pth)
else:
print("Nothing saved")
#!/usr/bin/env python
"""
Example script for how to query the database and
export a subset of the data to a CSV file
As is, this exports viscosity data for crude oils
"""
# the scripting module has a few utilities and the
# core Python objects you may need for scripting
# calling it "adb" for easy typing
import adios_db.scripting as adb
base_dir, dry_run = adb.process_input()
# create a new text file for output
outfile = open("example_data.csv", 'w', encoding="utf-8")
# write the header row:
outfile.write('Name, ID, Dynamic Viscosity, unit, reference temp, unit\n')
# Loop through all the JSON files in the given directory:
for oil, path in adb.get_all_records(base_dir):
print("\n**** ", oil.metadata.name)
# select the desired product types:
if oil.metadata.product_type in {
"Crude Oil NOS",
"Condensate",
"Tight Oil",
}:
