# PyArchAppl
Python client for [Archiver Appliance](https://slacmshankar.github.io/epicsarchiver_docs/index.html).
# Installation
`pip install pyarchappl [--upgrade]`
# User Guide
Command line tool ``pyarchappl-get`` is the best tool that could be used for
data retrieval, read the usage help message by `-h` option.
# Development
## [Optional] Set up Archiver Appliance testing environment
## Data Retrieval Client
```Python
from archappl.client import ArchiverDataClient
import matplotlib.pyplot as plt
plt.style.use('ggplot')
client = ArchiverDataClient()
client.url = 'http://127.0.0.1:17665' # default url, optional.
pv = 'TST:gaussianNoise'
data = client.get_data(pv)
data.plot()
plt.show()
```
### Data (PV) Management Client
```Python
from archappl.client import ArchiverMgmtClient
client = ArchiverMgmtClient()
client.url = 'http://127.0.0.1:17665'
all_pvs = client.get_all_pvs()
print(all_pvs)
# [u'TST:fakeGaussianNoise', u'TST:gaussianNoise', u'TST:uniformNoise']
```
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