Metadata-Version: 2.1
Name: primero-api
Version: 0.2.4
Summary: A simple client for consuming data from Primero API
Home-page: https://github.com/unicef/magasin-primero-paquet
Author: merlos
Author-email: merlos@users.github.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
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Provides-Extra: dev
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# Primero API Python library (primero-api) [Experimental]

This is a python library to interact with the [Primero IMS](primero.org) API.

This library is part of the magasin-primero-paquet project.

It's main goal is to enable data analysts to extract data programmatically from a Primero instance either for performing exploratory analysis or building a data pipeline. 

Tested with primero `2.11.0-rc3`.

## Installation

```shell
pip install primero-api
```

## Usage

```python
from primero_api import PrimeroAPI

# Initialize the API client
# Replace the url, username and password with your own.
primero = PrimeroAPI(
    url='https://primero.example.com/api/v2/',
    username='primero',
    password='passw0rd!'
)
# Test the api connection
print(primero.get_server_version())
# '2.11.0-rc3'
```

In a production environment, it is recommended to use [environment variables](https://en.wikipedia.org/wiki/Environment_variable) to provide the credentials.

```sh
export PRIMERO_USER='primero'
export PRIMERO_PASSWORD='primer0!'
export PRIMERO_API_URL='http://localhost/api/v2/'
```

Then you can use the following code to read the environment variables.

```python
import os

PRIMERO_USER= os.getenv('PRIMERO_USER')
PRIMERO_PASSWORD= os.getenv('PRIMERO_PASSWORD')
PRIMERO_API_URL= os.getenv('PRIMERO_API_URL')

primero = PrimeroAPI(
    url=PRIMERO_API_URL,
    username=PRIMERO_USER,
    password=PRIMERO_PASSWORD
)

```

### Interact with cases and the incidents
The API client, is mainly focused on data analysis so it basically provides a few methods to extract data from a Primero instance.

```python

# Get cases
cases = primero.get_cases()

# Get incidents
incidents = primero.get_incidents()
```

By default the client will return the data in a pandas **DataFrame** format. Data is ANONYMIZED, that is, no personal identifiable information, and only a subset of the information stored in the primero case / incident is returned.

Primero manages sensitive personal information, so this approach follows **privacy by design principle**.  

#### Additional fields and disabling anonymization

The fields that are retrieved by default are kept in the property `non_pii_cols`

```python
print(primero.non_pii_cols)
```

If there is some data point that you need for your use case, you can use `additional_fields` option to get it. For example:

```python
# Get cases with additional fields
cases = primero.get_cases(additional_fields=['name','date_of_birth'])
incidents = primero.get_incidents(additional_fields=['name','date_of_birth'])
```

You can even fully disable the anonymization by setting `anonymize=False` in the `get_cases`/`get_incidents` method.

```python
cases = primero.get_cases(anonymize=False)
incidents = primero.get_incidents(anonymize=False)
```

Lastly, you can also get the raw data as a dictionary:

```python
# Get cases as returned by the API
cases = primero.get_cases_raw()

# Get incidents
incidents = primero.get_incidents_raw()
```
In this case the data is returned is the resulting dict with the converted JSON provided by the API. 


### Interact with the reports

```python

# Dictionary of reports in which the key is the id of the report
reports = primero.get_reports()

# Display the report id, name and language
for report in reports.values():
  print(report.id, report.name, report.lang, report.slug)
```

You can also get a report by its id

```python
report = primero.get_report(1) # where 1 is the id of the report
print(report.id, report.name, report.lang, report.slug)
```

Get the data of a report
```python
report = primero.get_report(1) # where 1 is the id of the report

# Get the data of the report as a pandas DataFrame
# This will process the original data and return it as a pandas DataFrame with the rows and columns
report_df =  report.to_pandas()
print(report_df)

# Get the raw data of the report as a dictionary
# This is the original data as returned by the API without any processing
print(report.report_data_dict)

```


## Development

Get the repo

```shell
git clone https://github.com/unicef/magasin-primero-paquet  
```
Go to the library folder

```shell
cd primero-magasin-paquet
cd primero_api
```
Install in edit mode

```shell
pip install -e ".[dev]"
```
Now you can edit the code and see the results when you run test code.

## Unit Testing

To run the unit tests:
```
pytest tests
```

## Integration testing

To run the integration tests, you need to have a running primero instance running and set the environment variables below. 

```
export PRIMERO_USER='primero'
export PRIMERO_PASSWORD='primer0!'
export PRIMERO_API_URL='http://localhost/api/v2/'
```

If the environment variables are not set, the tests will use the default values:

```
PRIMERO_USER='primero'
PRIMERO_PASSWORD='primer0!'
PRIMERO_API_URL='http://localhost/api/v2/'
```

```shell
pytest integration_tests
```

### Integration testing with environment file

Optionally, you can use a file to set these variables. Follow these steps: 

1. Create a copy the example file:
    ```
    cp integration_env.conf-sample integration_env.conf
    ```
2. Then update the values in `integration_env.conf` with your own values.

3. Run:

```shell
source integration_env.conf
pytest integration_tests
```

### All tests with code coverage

To run all the tests:

```shell
pytest --cov=primero_api 
```


## LICENSE

MIT License

Copyright (c) 2024 United Nations Children's Fund (UNICEF) https://unicef.org

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

