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CHANGELOG.rst

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Changelog

Version 1.1.2

  • Fix construction of s3 categories dictionary, and adjust unit test vectors to align with more accurate emissions allocations.
  • Fix linting errors reported by flake8 and mypy.
  • Env vars ITR_SCHEMA and/or ITR_PREFIX can override code defaults (demo_dv, itr_) to prevent collisions between users and CI/CD
  • Implement support for CH4 emissions disclosures (i.e., fugitive S1 emissions)
  • Use concurrent Data Vault operations to optimize queries when possible
  • Support automobile and other production equivalences (e.g., veh=150k kpm), with new sample data file 20231031 ITR V2 Sample Data.xlsx
  • Add ITR/test/inputs/20230106 ITR V2 Sample Data.xlsx for automobiles
  • Sample Data fixes
  • Various bug fixes and dependency version updates

Version 1.1.1

  • Update __hash__ functions used by uncertainties
  • Quiet vault warnings due to Pint #1897
  • Optimize validation of Data Vault initialization for ITR
  • Update ITR_DV.py to demonstrate connections to Data Mesh for ITR
  • Created unit tests test_vault_providers for Data Vault
  • Update Data Vault to Pydantic 2.x, other related
  • Rewrite list-map-zip for mypy
  • Migrate flake8 to use pyproject.toml configurationx
  • Sample Data fixes
  • Various bug fixes and dependency version updates

Version 1.1.0

  • Refactor code to resolve mypy errors
  • Bump sphinx-autoapi from 2.0.1 to 3.0.0
  • Various bug fixes and dependency version updates

Version 1.0.12

  • Prune examples and ITR-examples
  • Create dependabot.yml
  • reorder imports to ensure primacy of our Quantity (feeding pint.Quantity, not the other way around)
  • Add tomllint.sh script
  • Update git submodule for ITR-examples
  • Update docs to reflect ITR/ITR-examples packaging
  • Workaround for Pandas #55824
  • Various bug fixes and dependency version updates

Version 1.0.11

  • Yanked

Version 1.0.10

  • Automate backfilling of data to BASE_YEAR so that more companies can be analyzed
  • Various bug fixes and dependency version updates

Version 1.0.9

  • Update pyproject.toml and pdm.lock files. Otherwise this is more of a test of pushing releases than any new released functionality.

Version 1.0.8

  • Remove notebook workflow; now in ITR-examples
  • Move benchmark data to a subdirectory of src/ITR/data
  • Update osc-ingest-tools so that we can use SqlAlchemy 2.0.
  • Add flake8 and mypy linting tools
  • Migrate examples to new repository ITR-examples
  • Minor documentation updates
  • Various bug fixes and dependency version updates

Version 1.0.7

  • Update license strings in pyproject.toml
  • Various bug fixes and dependency version updates

Version 1.0.6

  • Swap build system to tox/pdm/pyproject.toml
  • Address Pandas 2.1.0 deprecations
  • Implement eslint TOML file linting
  • Add code linting
  • Swap build system to tox/pdm/pyproject.toml
  • Migrate from Pydantic V1 -> V2
  • Various bug fixes and dependency version updates

Version 1.0.5

  • Re-enable Python 3.11
  • Various bug fixes and dependency version updates

Version 1.0.4

  • Speed up template-based test cases (reduce time to run tests by 5 minutes)
  • Implemented PyScaffold to simplify release process
  • Various bug fixes and dependency version updates
  • Load new Oil&Gas benchmark synthesized from itr-data-pipline

Version 1.0.3

  • Clean up docstring documentation
  • Rewrite internals to use PintArrays much more effectively (transposed EI tables etc).
  • Better align units handling between benchmarks, disclosures, and targets. For example, benchmark defines t CO2e/GJ intensity, disclosure defines bcm CH4 gas distributed and target defines absolute t CO2e target. Intentional unit conversion leads to greater consistency and fewer failed conversions than waiting to see what Pint will do.
  • Support for target_probabilities
  • Support new synthetic OECM Oil&Gas sector (combining Oil and Gas budgets and production values)
  • Implement SBTi budget scaling methodology (cumulative_scaled_budget)
  • Switch unit testing framework from unittest to pytest
  • Plot uncertainties in ITR_UI.py
  • Initial prototype of Data Vault (aka Data Mesh) functionality
  • Support TPI and OECM benchmarks in unified way
  • Support intensity metrics (and infer emissions from those)
  • Implement benchmark-aligned inferencing of S3 data (with uncertainties if available)
  • Calculate and display Activity-level budgets based on sector/region/scope selections
  • Infer S2 metrics to better harmonize comparability of S1 and S1S2 metrics
  • Rewrite ITR_UI.py to avoid excess dependencies on global variables
  • Remove support for Python 3.8
  • Re-establish PyPi publication
  • Automate release publication via git tags and github actions
  • Sample Data fixes
  • Various bug fixes and dependency version updates