CTP
Collect Then Process: A python data collection library
What do you need to do if you are running some programs on the remote server and you want to collect some runtime data during program running, and process it on your local PC, e.g. plot a figure? See how many steps you need without ctp:
- collect the data
- serialize the data
- download the data to your local computer through various ways: scp, ftp ...
- deserialize the data on your local computer
- process the data, e.g plot a figure
Tired of all this? ctp now provides a easy to use solution of just Collect then Process:
Collect on the remote cloud server:
import ctp
with ctp.append_run("my_experiment") as run:
run.collect("my_data", data)
Then Process on your local computer:
import ctp
with ctp.get_run("my_experiment") as run:
data = run.process("my_data")
Usage:
pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple cthenp
Server:
To start a server locally:
import ctp
ctp.start_listen(ip = "localhost", port=50057)
Collect:
Example usage of collecting data and transfer it to server:
import ctp
run = ctp.append_run("sample_exp")
This appends a new run of the experiment, to collect data to new run:
for i in range(10):
run.collect("sample_data")
Or you can also pass a list created by yourself by:
sample_data = [] # sample data list created by your self
run.monitor("sample_data", sample_data)
for i in range(10):
sample_data.append(i)
After collecting data, finish collect and upload all data to server:
run.stop_collect()
If you don't want to deal with start and stop by your self, you can:
with ctp.append_run("sample_exp") as run:
... ## your code here
will automatically upload all data once this block is finished
Process
To process data from other machines:
import ctp
run = ctp.get_run("sample_exp")
get sample data:
sample_data = run.process("sample_data")
API
ctp
def start_listen(ip : str = "localhost", port : int = 50057) -> None:
def append_run(exp_name : str, ip : str = "localhost", port : int = 50057) -> ctp.Run:
def get_run(exp_name : str, ip : str = "localhost", port : int = 50057) -> ctp.Run:
ctp.Run:
def collect(self, user_label : str, data : any = None, prefix : str = '_') -> List[any]:
def monitor(self, user_label : str, datas : List[any], prefix : str = '_') -> None:
def stop_collect() -> None:
def process(self, user_label : str = None) -> Optional[dict[str,List[any]],List[any]]:
Metadata
Release files for cthenp 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cthenp-0.2.0.tar.gz | 15.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cthenp-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 30.5 kB
Release files / cthenp-0.2.0.tar.gz
| Download URL | cthenp-0.2.0.tar.gz |
|---|---|
| Size | 15.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
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Release files / cthenp-0.2.0-py3-none-any.whl
| Download URL | cthenp-0.2.0-py3-none-any.whl |
|---|---|
| Size | 14.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
94e183100bd54452a0b1e7f031d44089c0975004d3651eb3e96d0feef43e5992
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
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