feat: add a Neon One (Neon CRM) gift export reader (ingest preset)

Aperta
#237 1 commento 0 reazioni 0 assegnatari Vedi su GitHub

I maintainer di solito rispondono entro 1 giorno

@Utkarsh3725 ci sta già lavorando.

Dal 7/10/2026.

  • #314 di @Utkarsh3725 — aperta

Valutazione

Difficoltà
4/5
Tempo stimato
3-5 giorni
Idoneità per principianti
25/100
Tipo di issue
Funzionalità
Chiarezza
Specificata chiaramente
Stato di attività
Ferma
Stack tecnologico
pandas, python, scikit-learn

Direzione di ricerca

Read philanthropy/ingest/_raisers_edge.py for the existing bridge pattern and philanthropy/ingest/_civicrm.py for the shared aggregator. Verify Neon export labels and pledge/payment terminology against Neon One’s official help center and API docs; then check philanthropy/cli.py for source registration and follow tests/test_raisers_edge.py when adding tests/test_neon.py. Done means the documented aliases and exclusions are tested, exports and stability documentation are updated, and the verification commands pass; an open linked pull request already indicates work is underway.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

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 Neon One / Neon CRM.

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_neon.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/_neon.py: a header-alias map from Neon's real export labels (its donation/transaction export) and its API field names onto the canonical contact_id / receive_date / total_amount / gift_type names; a documented default exclusion parameter for whatever Neon's pledge-vs-payment split actually is (find out exactly how from the docs — do not assume it matches Raiser's Edge or NPSP); a neon_donations_to_features(...) function (name it for what Neon actually calls the record once you've checked); and a read_neon_donations(path) reader delegating to read_civicrm_contributions.
  2. Verify every field name and every commitment/payment vocabulary term against Neon One'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_neon.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 Neon'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 neon_donations_to_features, read_neon_donations; print('OK')"
make ci
make riskcov

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Lingua principale
Python
Stelle
11
Fork
23
Merge medio
1g 8h
PR unite (30g)
35

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