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.gitignore

@@ -163,4 +163,10 @@ cython_debug/
 
 # Custom
 data_bridges_api_config.yaml
-ROADMAP.md
+.Rproj.user
+.RData
+.Rhistory
+*.Rproj
+*.yaml
+sandbox.py
+*.csv

.vscode/settings.json

@@ -0,0 +1,3 @@
+{
+    "python.analysis.typeCheckingMode": "basic"
+}

LICENSE.md → LICENSE

@@ -1,21 +1,23 @@
-                    GNU AFFERO GENERAL PUBLIC LICENSE
-                       Version 3, 19 November 2007
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
 
- Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/>
  Everyone is permitted to copy and distribute verbatim copies
  of this license document, but changing it is not allowed.
 
                             Preamble
 
-  The GNU Affero General Public License is a free, copyleft license for
-software and other kinds of works, specifically designed to ensure
-cooperation with the community in the case of network server software.
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
 
   The licenses for most software and other practical works are designed
 to take away your freedom to share and change the works.  By contrast,
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 share and change all versions of a program--to make sure it remains free
-software for all its users.
+software for all its users.  We, the Free Software Foundation, use the
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+any other work released this way by its authors.  You can apply it to
+your programs, too.
 
   When we speak of free software, we are referring to freedom, not
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@@ -24,34 +26,44 @@ them if you wish), that you receive source code or can get it if you
 want it, that you can change the software or use pieces of it in new
 free programs, and that you know you can do these things.
 
-  Developers that use our General Public Licenses protect your rights
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+  Developers that use the GNU GPL protect your rights with two steps:
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+
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+
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   The precise terms and conditions for copying, distribution and
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@@ -60,7 +72,7 @@ modification follow.
 
   0. Definitions.
 
-  "This License" refers to version 3 of the GNU Affero General Public License.
+  "This License" refers to version 3 of the GNU General Public License.
 
   "Copyright" also means copyright-like laws that apply to other kinds of
 works, such as semiconductor masks.
@@ -537,45 +549,35 @@ to collect a royalty for further conveying from those to whom you convey
 the Program, the only way you could satisfy both those terms and this
 License would be to refrain entirely from conveying the Program.
 
-  13. Remote Network Interaction; Use with the GNU General Public License.
-
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-Program, your modified version must prominently offer all users
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-of the GNU General Public License that is incorporated pursuant to the
-following paragraph.
+  13. Use with the GNU Affero General Public License.
 
   Notwithstanding any other provision of this License, you have
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+under version 3 of the GNU Affero General Public License into a single
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+but the special requirements of the GNU Affero General Public License,
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@@ -615,47 +617,3 @@ reviewing courts shall apply local law that most closely approximates
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-For more information on this, and how to apply and follow the GNU AGPL, see
-<https://www.gnu.org/licenses/>.

README.md

@@ -0,0 +1,65 @@
+# Data Bridges Utils
+
+This Python module provides utilities for working with the WFP Data Bridges API. It allows you to fetch various datasets from the API, including household survey data, GORP (Global Operational Response Plan) data, market prices, exchange rates, and food security data (IPC equivalent).
+
+## Installation
+
+You can install the `data_bridges_utils` package using `pip` and the Git repository URL:
+
+```
+pip install git+https://github.com/WFP-VAM/DataBridgesUtils.git@dev
+```
+
+### STATA users
+
+To use the `data_bridges_utils` package with STATA, you'll need to have STATA 18+ installed and added to your system's PATH. Additionally, you'll need to install the optional dependencies for STATA.
+
+```pip install data-bridges-utils-STATA```
+
+## Usage
+
+### Python
+
+```python
+from data_bridges_utils import DataBridgesShapes
+
+CONFIG_PATH = "data_bridges_api_config.yaml"
+
+client = DataBridgesShapes(CONFIG_PATH)
+
+# Get household data for survey id
+survey_data = client.get_household_survey(survey_id=3329, access_type='full')
+print(survey_data.head())
+
+```
+### STATA
+```
+from data_bridges_utils import DataBridgesShapes, load_stata
+
+CONFIG_PATH = r"data_bridges_api_config.yaml"
+
+# Initialize DataBridges client with credentials from YAML file
+client = DataBridgesShapes(CONFIG_PATH)
+
+# Get household data for survey id
+survey_data = client.get_household_survey(survey_id=3329, access_type='full')
+
+# Load into STATA dataframe
+ds = load_stata(survey_data)
+```
+
+### R 
+Instructions for using the data_bridges_utils package with R are coming soon.
+
+Make sure to replace data_bridges_api_config.yaml with the path to your API configuration file containing your API key, secret, and other settings.
+
+## Configuration
+1. Rename the ```data_bridges_api_config_sample.yaml``` into ```data_bridges_api_config.yaml```. 
+2. Replace your_api_key and your_api_secret with your actual API key and secret from the Data Bridges API. Update the SCOPES list with the required scopes for your use case.
+3. (For WFP users) Credentials and scopes for DataBridges API can be requested by opening a ticket with the [TEC Digital Core team](https://dev.azure.com/worldfoodprogramme/Digital%20Core/_workitems). See [documentation](https://docs.api.wfp.org/consumers/index.html#application-accounts) 
+
+## Contributing
+Contributions are welcome! Please open an issue or submit a pull request if you have any improvements or bug fixes.
+
+## License
+This project is licensed under the AGPL 3.0 License.

ROADMAP.md

@@ -0,0 +1,56 @@
+# Roadmap for DataBridgesUtils
+
+This document outlines the planned features and improvements for the `DataBridgesUtils` package, which provides a wrapper for the WFP Data Bridges API.
+
+## Upcoming Release: 1.0.0 (DEV)
+
+### Wrapper Endpoints
+
+The following endpoints will be added or improved in the upcoming release:
+
+- [X] Exchange rates 
+- [X] Food security (IPC)
+- [X] GORP (Global Operational Response Plan)
+- [X] Market prices
+- [X] Surveys
+- [X] XSL Forms
+
+### Examples and Documentation
+
+- [X] Provide an example file in Python demonstrating the usage of available endpoints
+- [X] Provide an example file in STATA demonstrating the usage of available endpoints
+  - [ ] Test
+- [ ] Provide an example file in R demonstrating the usage of available endpoints
+  - [ ] Test
+- [X] Update the README file with Python usage examples
+- [X] Add documentation for STATA users in the README file
+
+### Repository Setup
+
+- [X] Create a GitHub repository for the `DataBridgesUtils` package
+- [X] Configure optional dependencies in the project files
+- [X] Set up the package installation process
+
+## Improvements (1.1.0)
+
+## Bug fixing
+- [ ] DPO change for GORP
+- [ ] DPO change for XLSForm
+- [ ] Fix optional dependencies for STATA
+
+## Wrapper points
+- [ ] Economic data
+- [ ] Commodities
+- [ ] Commodity units
+- [ ] Markets
+- [ ] RPME (Resource Planning and Monitoring Environment)
+
+## Future Releases (2.0.0)
+
+- Improve error handling and logging
+- Add unit tests and integration tests
+- Enhance documentation and provide more usage examples
+- Optimize performance and improve code efficiency
+- Implement additional features based on user feedback and requirements
+
+Please note that this roadmap is subject to change, and the priorities may be adjusted based on the project's needs and available resources.

data_bridges_utils/__init__.py

@@ -1,10 +1,10 @@
 # encoding: utf-8
 
 """
-Wrapper for DataBridges client, making it easier to load data in Python, R and STATA.
+Wrapper for DataBridges client.
 """
 
 from .get_data import DataBridgesShapes
-from .load_stata import load_stata
+from .labels import get_column_labels, get_value_labels, map_value_labels
 
-__all__ = ['DataBridgesShapes', 'load_stata']
+__all__ = ['DataBridgesShapes', 'labels']