測定

import pandas as pd

time_series = pd.DataFrame({
    "Time [s]": [0, 1, 2, 3, 4, 5],
    "Voltage [V]": [3.0, 3.2, 3.5, 3.8, 4.0, 4.2],
    "Current [A]": [0.002, 0.002, 0.002, 0.002, 0.002, 0.002],
    "Step count": [0, 0, 0, 1, 1, 1],
    "Cycle count": [0, 0, 0, 0, 0, 0],
})

bundle = client.cell_measurement.create(
    cell_instance.id,
    {"measurement": {"name": "Formation Cycle 1"}, "time_series": time_series},
)

measurement = client.cell_measurement.create_properties(
    cell_instance.id,
    name="Post-formation properties",
    properties={
        "thickness": {"value": 0.52, "unit": "mm"},
        "weight": {"value": 45.3, "unit": "g"},
        "internal_resistance": {"value": 12.5, "unit": "mOhm"},
        "visual_condition": "No visible damage",
    },
    notes="Measured after formation cycling",
)

bundle = client.cell_measurement.create_file(
    cell_instance.id,
    name="Post-cycling SEM images",
    filepaths=[
        "images/anode_surface_1000x.png",
        "images/cathode_cross_section_500x.png",
    ],
    notes="SEM images taken after 500 cycles",
)

bundle = client.cell_measurement.create_file(
    cell_instance.id,
    name="Electrode images",
    filepaths=["photo.png", "scan.tiff"],
    validate_images=True,
)

# List filenames in the measurement
filenames = client.cell_measurement.list_files(measurement_id)

# Download file contents directly
files = client.cell_measurement.download_files(measurement_id)
for filename, content in files.items():
    print(f"{filename}: {len(content)} bytes")