| Name | ecopipeline JSON |
| Version |
0.8.12
JSON |
| download |
| home_page | None |
| Summary | Contains functions for use in Ecotope Datapipelines |
| upload_time | 2025-07-29 23:04:04 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.11 |
| license | None |
| keywords |
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| VCS |
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| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
|
# DataPipelinePackage
## To Install the Package
From the internet for use elsewhere:
$ pip install ecopipeline
Install locally in an editable mode:
Navigate to DataPipelinePackage directory and run the following command
$ pip install -e .
## Using the Package
See https://ecotoperesearch.github.io/DataPipelinePackage/build/html/index.html for documentation
### config.ini
- database
- user: username for host database connection
- password: password for host database connection
- host: name of host
- database: name of database
- minute
- table_name: name of table to be created in the mySQL database containing minute-by-minute data
- hour
- table_name: name of table to be created in the mySQL database containing hour-by-hour data
- day
- table_name: name of table to be created in the mySQL database containing day-by-day data
- input
- directory: diretory of the folder containing the input files listed below
- site_info: name of the site information csv
- 410a_info: name of the 410a information csv
- superheat_info: name of the superheat infomation csv
- output
- directory: diretory of the folder where any pipeline output should be written to
- data
- directory: diretory of the folder from which extract loads the raw sensor data
- fieldManager_api_usr: Username for Field Manager API if extracting data through that medium
- fieldManager_api_pw: Password for Field Manager API if extracting data through that medium
- fieldManager_device_id: Device ID for Field Manager API if extracting data through that medium
## Unit Testing
To run Unit tests, run the following command in the terminal in the corresponding directory:
```bash
python -m pytest
```
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"description": "# DataPipelinePackage\n\n## To Install the Package\n From the internet for use elsewhere:\n $ pip install ecopipeline\n Install locally in an editable mode:\n Navigate to DataPipelinePackage directory and run the following command\n $ pip install -e .\n\n## Using the Package\nSee https://ecotoperesearch.github.io/DataPipelinePackage/build/html/index.html for documentation\n\n### config.ini\n- database\n - user: username for host database connection \n - password: password for host database connection\n - host: name of host \n - database: name of database\n- minute\n - table_name: name of table to be created in the mySQL database containing minute-by-minute data\n- hour\n - table_name: name of table to be created in the mySQL database containing hour-by-hour data\n- day\n - table_name: name of table to be created in the mySQL database containing day-by-day data\n- input\n - directory: diretory of the folder containing the input files listed below\n - site_info: name of the site information csv\n - 410a_info: name of the 410a information csv\n - superheat_info: name of the superheat infomation csv\n- output \n - directory: diretory of the folder where any pipeline output should be written to\n- data\n - directory: diretory of the folder from which extract loads the raw sensor data\n - fieldManager_api_usr: Username for Field Manager API if extracting data through that medium\n - fieldManager_api_pw: Password for Field Manager API if extracting data through that medium\n - fieldManager_device_id: Device ID for Field Manager API if extracting data through that medium\n## Unit Testing\nTo run Unit tests, run the following command in the terminal in the corresponding directory:\n```bash\npython -m pytest\n```\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
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