Useful library
Project description
rn3: Python tools to help manage EEA Reportnet3
This repository contains tools to ineract with Reportnet3.
Requirements
- Windows or Linux operating system
- Python x64 3.8 - 3.12
Installation
From PyPI:
pip install rn3
Use 1: Generate Microsoft SQL script to create data tables based on a dataset in Reportnet3
import rn3
ds = DatasetModel()
ds.from_url(
dataset_id=20822,
api_key="ApiKey d79237c1-8942-44b9-b6df-2ef20fca66a4",
base_url=r"https://sandbox-api.reportnet.europa.eu",
)
sql_cmd = ds.sql_cmd(self, database_name="EnergyCommunity", schema_name="annex_XXIV")
print(sql_cmd)
output:
USE [EnergyCommunity]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [annex_XXIV].[PaMs](
[Id] [int] IDENTITY(1,1) NOT NULL,
[Title] [nvarchar](500) NOT NULL,
[TitleNational] [nvarchar](500) NULL,
[IsGroup] [int] NOT NULL,
[ListOfSinglePams] [nvarchar](500) NULL,
[ShortDescription] [text] NOT NULL,
[ReportNet3HistoricReleaseId] [int] NOT NULL,
CONSTRAINT [PK_PaMs] PRIMARY KEY CLUSTERED
(
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
ALTER TABLE [annex_XXIV].[PaMs] WITH NOCHECK ADD CONSTRAINT [FK_PaMs_ReportNet3HistoricReleases] FOREIGN KEY([ReportNet3HistoricReleaseId])
REFERENCES [metadata].[ReportNet3HistoricReleases] ([Id])
ON DELETE CASCADE
GO
ALTER TABLE [annex_XXIV].[PaMs] CHECK CONSTRAINT [FK_PaMs_ReportNet3HistoricReleases]
GO
.
.
.
... for all tables in dataset
Use 2: Write Code List Tables and Reference Data to database
Export Reference Data to excel
import rn3
dsrd = rn3.DatasetReferenceData()
dsrd.from_xlsx(xlsx_filepath="~/Downloads/Reference Dataset - Reference data.xlsx")
dsrd.to_mssql("osprey", "EnergyCommunity", "annex_XXIV")
output
writing table: [annex_XXIV].[dict_Sector]
writing table: [annex_XXIV].[dict_Objectives]
writing table: [annex_XXIV].[dict_UnionPolicies]
writing table: [annex_XXIV].[dict_Dimensions]
writing table: [annex_XXIV].[dict_Currencies]
Export the Codelist to database
ds = rn3.DatasetModel()
ds.from_url(
dataset_id=60425,
api_key="ApiKey 7fee1baa-f8f9-49bf-a21b-227749c961d5",
base_url=r"https://api.reportnet.europa.eu",
)
ds.sql_codelist_data("osprey", "EnergyCommunity", "annex_XXIV")
output
writing table: [annex_XXIV].[dict_IsGroup]
writing table: [annex_XXIV].[dict_GeographicalCoverage]
writing table: [annex_XXIV].[dict_GHGAffected]
writing table: [annex_XXIV].[dict_TypePolicyInstrument]
writing table: [annex_XXIV].[dict_UnionPolicy]
writing table: [annex_XXIV].[dict_PaMRelateAirQuality]
writing table: [annex_XXIV].[dict_StatusImplementation]
writing table: [annex_XXIV].[dict_ProjectionsScenario]
writing table: [annex_XXIV].[dict_partNDC]
writing table: [annex_XXIV].[dict_Type]
writing table: [annex_XXIV].[dict_PolicyImpacting]
Contributor note
Before commit, run pre-commit hook
pip install pre-commit
re-commit run -a
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