Ingest Chunk

from atomscale.streaming import TimeseriesStreamer

streamer = TimeseriesStreamer(api_key="YOUR_API_KEY", points_per_chunk=100)
streamer.push(
    data_id="d290f1ee-6c54-4b01-90e6-d701748f0851",
    chunk_index=0,
    channel_name="thickness",
    timestamps=[1705312200.0, 1705312210.0, 1705312220.0],
    values=[0, 5.2, 10.1],
    units="nm",
)

import requests

response = requests.post(
    "https://api.atomscale.ai/metrology/stream/chunk",
    headers={
        "X-API-KEY": "YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    json={
        "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
        "chunk_index": 0,
        "channel_name": "thickness",
        "timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
        "values": [0, 5.2, 10.1],
        "units": "nm"
    }
)
result = response.json()

curl -X POST "https://api.atomscale.ai/metrology/stream/chunk" \
  -H "X-API-KEY: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
    "chunk_index": 0,
    "channel_name": "thickness",
    "timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
    "values": [0, 5.2, 10.1],
    "units": "nm"
  }'

{
  "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
  "channel_name": "thickness",
  "chunk_index": 0,
  "total_points": 3
}

POST

metrology

stream

chunk

from atomscale.streaming import TimeseriesStreamer

streamer = TimeseriesStreamer(api_key="YOUR_API_KEY", points_per_chunk=100)
streamer.push(
    data_id="d290f1ee-6c54-4b01-90e6-d701748f0851",
    chunk_index=0,
    channel_name="thickness",
    timestamps=[1705312200.0, 1705312210.0, 1705312220.0],
    values=[0, 5.2, 10.1],
    units="nm",
)

import requests

response = requests.post(
    "https://api.atomscale.ai/metrology/stream/chunk",
    headers={
        "X-API-KEY": "YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    json={
        "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
        "chunk_index": 0,
        "channel_name": "thickness",
        "timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
        "values": [0, 5.2, 10.1],
        "units": "nm"
    }
)
result = response.json()

curl -X POST "https://api.atomscale.ai/metrology/stream/chunk" \
  -H "X-API-KEY: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
    "chunk_index": 0,
    "channel_name": "thickness",
    "timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
    "values": [0, 5.2, 10.1],
    "units": "nm"
  }'

{
  "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
  "channel_name": "thickness",
  "chunk_index": 0,
  "total_points": 3
}

Uploads a chunk of time series data for a single channel. Uses chunk_index to compute deterministic array positions, making the operation idempotent: retrying the same (data_id, channel_name, chunk_index) combination replaces the same slice rather than appending.

string

required

Data ID returned from stream initialization

integer

required

Zero-based chunk index for ordering. Must be >= 0.

string

required

Name of the data channel (e.g., thickness, temperature). Must be 1-255 characters.

array

required

Array of Unix epoch timestamps in seconds

array

required

Array of measured values corresponding to each timestamp

string

Units for the values (e.g., nm, C)

Response

string

The data ID for this stream

string

The channel name that was updated

integer

The chunk index that was ingested

integer

Total number of data points now stored for this channel

from atomscale.streaming import TimeseriesStreamer

streamer = TimeseriesStreamer(api_key="YOUR_API_KEY", points_per_chunk=100)
streamer.push(
    data_id="d290f1ee-6c54-4b01-90e6-d701748f0851",
    chunk_index=0,
    channel_name="thickness",
    timestamps=[1705312200.0, 1705312210.0, 1705312220.0],
    values=[0, 5.2, 10.1],
    units="nm",
)

import requests

response = requests.post(
    "https://api.atomscale.ai/metrology/stream/chunk",
    headers={
        "X-API-KEY": "YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    json={
        "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
        "chunk_index": 0,
        "channel_name": "thickness",
        "timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
        "values": [0, 5.2, 10.1],
        "units": "nm"
    }
)
result = response.json()

curl -X POST "https://api.atomscale.ai/metrology/stream/chunk" \
  -H "X-API-KEY: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
    "chunk_index": 0,
    "channel_name": "thickness",
    "timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
    "values": [0, 5.2, 10.1],
    "units": "nm"
  }'

{
  "data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
  "channel_name": "thickness",
  "chunk_index": 0,
  "total_points": 3
}

Initialize Metrology Stream

Ingest Multi-Channel Chunk

Introduction

Data Catalogue

Data Upload

Projects

Physical Samples

RHEED

SEM

Spectroscopy

OES

SIMS

Optical

Metrology

Tags

Target Materials

Instruments

Response

​Response

Response