from atomscale.streaming import TimeseriesStreamer
streamer = TimeseriesStreamer(api_key="YOUR_API_KEY", points_per_chunk=100)
streamer.push_multi(
data_id="d290f1ee-6c54-4b01-90e6-d701748f0851",
chunk_index=0,
channels={
"thickness": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0, 5.2, 10.1],
"units": "nm",
},
"deposition_rate": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0.52, 0.49, 0.52],
"units": "nm/s",
},
},
)
import requests
response = requests.post(
"https://api.atomscale.ai/metrology/stream/chunk/multi",
headers={
"X-API-KEY": "YOUR_API_KEY",
"Content-Type": "application/json"
},
json={
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"chunk_index": 0,
"channels": {
"thickness": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0, 5.2, 10.1],
"units": "nm"
},
"deposition_rate": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0.52, 0.49, 0.52],
"units": "nm/s"
}
}
}
)
results = response.json()
curl -X POST "https://api.atomscale.ai/metrology/stream/chunk/multi" \
-H "X-API-KEY: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"chunk_index": 0,
"channels": {
"thickness": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0, 5.2, 10.1],
"units": "nm"
},
"deposition_rate": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0.52, 0.49, 0.52],
"units": "nm/s"
}
}
}'
[
{
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"channel_name": "thickness",
"chunk_index": 0,
"total_points": 3
},
{
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"channel_name": "deposition_rate",
"chunk_index": 0,
"total_points": 3
}
]
Metrology
Ingest Multi-Channel Chunk
Ingest a chunk with multiple channels at once
POST
/
metrology
/
stream
/
chunk
/
multi
from atomscale.streaming import TimeseriesStreamer
streamer = TimeseriesStreamer(api_key="YOUR_API_KEY", points_per_chunk=100)
streamer.push_multi(
data_id="d290f1ee-6c54-4b01-90e6-d701748f0851",
chunk_index=0,
channels={
"thickness": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0, 5.2, 10.1],
"units": "nm",
},
"deposition_rate": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0.52, 0.49, 0.52],
"units": "nm/s",
},
},
)
import requests
response = requests.post(
"https://api.atomscale.ai/metrology/stream/chunk/multi",
headers={
"X-API-KEY": "YOUR_API_KEY",
"Content-Type": "application/json"
},
json={
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"chunk_index": 0,
"channels": {
"thickness": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0, 5.2, 10.1],
"units": "nm"
},
"deposition_rate": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0.52, 0.49, 0.52],
"units": "nm/s"
}
}
}
)
results = response.json()
curl -X POST "https://api.atomscale.ai/metrology/stream/chunk/multi" \
-H "X-API-KEY: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"chunk_index": 0,
"channels": {
"thickness": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0, 5.2, 10.1],
"units": "nm"
},
"deposition_rate": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0.52, 0.49, 0.52],
"units": "nm/s"
}
}
}'
[
{
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"channel_name": "thickness",
"chunk_index": 0,
"total_points": 3
},
{
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"channel_name": "deposition_rate",
"chunk_index": 0,
"total_points": 3
}
]
Uploads a chunk of time series data for multiple channels simultaneously. This is more efficient than making separate requests for each channel when you have data from multiple sensors at the same time points.
string
required
Data ID returned from stream initialization
integer
required
Zero-based chunk index for ordering. Must be >= 0.
object
required
Response
Returns an array of chunk responses, one for each channel.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_multi(
data_id="d290f1ee-6c54-4b01-90e6-d701748f0851",
chunk_index=0,
channels={
"thickness": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0, 5.2, 10.1],
"units": "nm",
},
"deposition_rate": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0.52, 0.49, 0.52],
"units": "nm/s",
},
},
)
import requests
response = requests.post(
"https://api.atomscale.ai/metrology/stream/chunk/multi",
headers={
"X-API-KEY": "YOUR_API_KEY",
"Content-Type": "application/json"
},
json={
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"chunk_index": 0,
"channels": {
"thickness": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0, 5.2, 10.1],
"units": "nm"
},
"deposition_rate": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0.52, 0.49, 0.52],
"units": "nm/s"
}
}
}
)
results = response.json()
curl -X POST "https://api.atomscale.ai/metrology/stream/chunk/multi" \
-H "X-API-KEY: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"chunk_index": 0,
"channels": {
"thickness": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0, 5.2, 10.1],
"units": "nm"
},
"deposition_rate": {
"timestamps": [1705312200.0, 1705312210.0, 1705312220.0],
"values": [0.52, 0.49, 0.52],
"units": "nm/s"
}
}
}'
[
{
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"channel_name": "thickness",
"chunk_index": 0,
"total_points": 3
},
{
"data_id": "d290f1ee-6c54-4b01-90e6-d701748f0851",
"channel_name": "deposition_rate",
"chunk_index": 0,
"total_points": 3
}
]
⌘I