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Added ingest methods to move experimental data to aimmdb #23

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8 changes: 4 additions & 4 deletions .pre-commit-config.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -13,17 +13,17 @@ repos:
- id: check-yaml
- id: debug-statements

- repo: https://gitlab.com/pycqa/flake8
rev: 4.0.1
- repo: https://github.com/pycqa/flake8
rev: 7.1.0
hooks:
- id: flake8

- repo: https://github.com/timothycrosley/isort
rev: 5.9.3
rev: 5.13.2
hooks:
- id: isort

- repo: https://github.com/psf/black
rev: 21.9b0
rev: 24.4.2
hooks:
- id: black
101 changes: 101 additions & 0 deletions aimm_adapters/aimm_elecrochem.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,101 @@
import pathlib
import re

import pandas as pd


def parse_charge(charge_params):
if "C" in charge_params:
state = "C"
else:
state = "DC"

cycle = int(charge_params[:-1])

charge = {"cycle": cycle, "state": state}

return charge


def read_electrochem(c, data_path):
c_uid = c["uid"]

files = list(data_path.glob("*.csv"))

data = []
metadata = []

extra_meta = {
"NCM622": {"loading_mass": 0.1638, "current": 30},
"NCM712": {"loading_mass": 0.1661, "current": 30},
"NCM712-Al": {"loading_mass": 0.1568, "current": 30},
"NCM811": {"loading_mass": 0.1675, "current": 30},
"NCMA": {"loading_mass": 0.1671, "current": 30},
}

units = {"units": {"loading_mass": "g", "current": "mA/g"}}

for file in files:
fname = file.name
print(fname)

if file.stem == "811-Al":
sample_name = "NCMA"
else:
sample_name = "NCM" + file.stem

with open(file, "r") as f:
raw_df = pd.read_csv(f, sep=",", header=[0, 1])

for i in range(0, raw_df.shape[1], 2):
columns = [
raw_df.iloc[:, i].name[0],
raw_df.iloc[:, i + 1].name[0],
] # To save in the metadata
edited_columns = [
columns[0].split()[0].lower(),
columns[1].split()[0].lower(),
] # No units; just the names.
# To use in the dataframes used in tiled
table_units = {
edited_columns[0]: re.sub("[()]", "", columns[0].split()[1]),
edited_columns[1]: re.sub("[()]", "", columns[1].split()[1]),
}

df = pd.DataFrame(
{
edited_columns[0]: raw_df.iloc[:, i],
edited_columns[1]: raw_df.iloc[:, i + 1],
}
)
df = df.dropna()

charge = parse_charge(raw_df.iloc[:, i].name[1])
meta = {
"dataset": "nmc_electrochem",
"fname": fname,
"facility": {"name": "ALS"},
"beamline": {"name": "8.0.1"},
"sample": {"name": sample_name},
"charge": charge,
}

meta.update(extra_meta[sample_name])
meta.update(units)
meta["units"].update(table_units)

c_uid.write_dataframe(df, meta, specs=["electrochemistry"])

data.append(df)
metadata.append(meta)

return data, metadata


if __name__ == "__main__":

data_path = pathlib.Path(
"C:/Users/jmaruland/Documents/GitHub/aimm-adapters/aimm_adapters/files"
)

data, metadata = read_electrochem(data_path)
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