feat: add a Little Green Light gift export reader (ingest preset)

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@jimoholayinka01 がすでに取り組んでいます。

2026年10月5日 から。

  • #312 @jimoholayinka01 による — オープン

評価

難易度
4/5
見積もり時間
3〜5日
初心者へのやさしさ
55/100
issue の種類
機能追加
明瞭さ
明確に書かれている
活発さ
活発
技術スタック
numpy, pandas, python, scikit-learn
領域
backend, data-engineering

調査の方向性

Read philanthropy/ingest/_raisers_edge.py and the shared aggregator in philanthropy/ingest/_civicrm.py; verify Little Green Light export fields and pledge/payment terminology against its public help center and API documentation before implementing. Add the reader, exports, CLI or preset registration, stability-tier row, changelog entry, and tests in the named files. Run the import check, make ci, and make riskcov; done means the required behaviors pass without adding dependencies or network code.

索引モデルが issue の本文から書いたものです。

説明

enhancement good first issue roadmap
What's needed

Same pattern as the other CRM bridges in philanthropy.ingest (CiviCRM, Raiser's Edge, NPSP): a thin, CRM-specific header-alias map plus a commitment/payment exclusion filter, delegating the roll-up to the shared aggregator in philanthropy/ingest/_civicrm.py. This issue adds the bridge for Little Green Light.

Where to look
File Purpose
philanthropy/ingest/_raisers_edge.py Closest existing example: header aliasing, a documented default exclusion set, delegation to the shared aggregator
philanthropy/ingest/_civicrm.py The shared aggregator (civicrm_contributions_to_features, read_civicrm_contributions) and its private helpers
tests/test_raisers_edge.py The test depth expected of your new tests/test_little_green_light.py
philanthropy/cli.py _FEATURE_SOURCES and the features --source dispatch — wire your new source in the same shape, unless the read_gifts preset registry (a separate, in-flight PR) has already landed, in which case register there instead
What to build
  1. philanthropy/ingest/_little_green_light.py: a header-alias map from Little Green Light's real export labels (its gift/donation export) and API field names onto the canonical contact_id / receive_date / total_amount / gift_type names; a documented default exclusion parameter for whatever its pledge-vs-payment split actually is (find out exactly how from the docs — do not assume it matches Raiser's Edge or NPSP); a little_green_light_gifts_to_features(...) function; and a read_little_green_light_gifts(path) reader delegating to read_civicrm_contributions.
  2. Verify every field name and every commitment/payment vocabulary term against Little Green Light's own public help center and API documentation before writing it down. Cite the doc URLs you actually used in your PR body, the way PR #233 does for NPSP. This issue does not assert any field name as fact — confirm everything yourself.
  3. Export the new names from philanthropy/ingest/__init__.py (__all__, alphabetical) and add a stability-tier row to docs/reference/index.md (Tier 2/Beta — a test enforces every public symbol has a row).
  4. tests/test_little_green_light.py at the depth of tests/test_raisers_edge.py: header aliasing from every spelling the docs name, the commitment/payment double-count trap and its exclusion, the exclusion set being documented/overridable/disabled by None, currency parsing, schema/dtypes, empty input, missing required columns.
  5. CHANGELOG.md entry under ## [Unreleased], and add yourself to CONTRIBUTORS.md if you'd like.
Hard constraints (same as the rest of this ingest series)
  • Dependencies stay scikit-learn/pandas/numpy/joblib only — no new package, no API client, no network code anywhere in philanthropy/. File-export reader only, never a live API connector.
  • No new estimator class.
  • Build the exclusion logic from Little Green Light's own public docs only — never from an institution's actual configuration or data.
  • Follow AGENTS.md's order: implement, export, verify with python -c "...", then write tests, then make ci.
Verifying
python -m pip install -e ".[dev]"
python -c "from philanthropy.ingest import little_green_light_gifts_to_features, read_little_green_light_gifts; print('OK')"
make ci
make riskcov

Claim this issue with a comment before starting; a maintainer assigns within 24 hours.

主要言語
Python
スター
11
フォーク
23
平均マージ
1日 8時間
マージ済み PR（30日）
35

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