A Python client to control and data ports of the PandABlocks TCP server
| Source | https://github.com/PandABlocks/PandABlocks-client |
|---|---|
| PyPI | pip install pandablocks |
| Docker | docker run ghcr.io/pandablocks/PandABlocks-client:latest |
| Documentation | https://pandablocks.github.io/PandABlocks-client |
| Releases | https://github.com/PandABlocks/PandABlocks-client/releases |
Command line tool features an interactive console, load/save control, and HDF5 writing:
$ pip install pandablocks
$ pandablocks control <panda-hostname>
< PCAP. # Hit TAB key...
PCAP.ACTIVE PCAP.BITS1 PCAP.BITS3 PCAP.GATE PCAP.SAMPLES PCAP.TRIG PCAP.TS_END PCAP.TS_TRIG
PCAP.BITS0 PCAP.BITS2 PCAP.ENABLE PCAP.HEALTH PCAP.SHIFT_SUM PCAP.TRIG_EDGE PCAP.TS_START
< PCAP.ACTIVE?
OK =1
$ pandablocks hdf <panda-hostname> /tmp/panda-%d.h5
INFO:Opened '/tmp/panda-1.h5' with 60 byte samples stored in 11 datasets
INFO:Closed '/tmp/panda-1.h5' after writing 50000000 samples. End reason is 'Disarmed'Library features a Sans-IO core with both asyncio and blocking wrappers:
from pandablocks.blocking import BlockingClient
from pandablocks.commands import Get
with BlockingClient("hostname-or-ip") as client:
# Commands sent to Control port
idn = client.send(Get("*IDN"))
print(f"Hello {idn}")
for data in client.data():
# Data captured from Data port
print(f"I got some PCAP data {data}")See https://pandablocks.github.io/PandABlocks-client for more detailed documentation.