Skip to main content

Xero Ledger Review Gate

Install distribution Python import Command
elizabeth-anne-alexander elizabeth_anne_alexander elizabeth-anne-alexander

Compatibility: install elizabeth-anne-alexander, import elizabeth_anne_alexander, and run elizabeth-anne-alexander. These remain the supported names; no migration is required.

Scope and assurance boundary

This is a synthetic-only design demonstration. It accepts synthetic Xero-shaped trial-balance fixtures, not client exports or evidence from Xero. receipt.json is an adjacent, unkeyed local SHA-256 checksum binding. Anyone who can replace the artefacts can replace the receipt. It does not prove authorship, source system, origin, time, or immutability.

+----------------------------------------------------------------------+
|                       Xero Ledger Review Gate                        |
+----------------------------------------------------------------------+
|           Synthetic fixed-policy zero-network review gateway         |
+----------------------------------+-----------------------------------+
| DR  what it gives you            | CR  what it needs                 |
+----------------------------------+-----------------------------------+
| redacted variance review         | synthetic Xero-shaped TB fixture  |
| local review display data        | a review policy JSON file         |
| local checksum binding           | a human decision JSON file        |
+----------------------------------+-----------------------------------+

tests PyPI Python 3.10+ License: MIT No network client

A fixed-policy, zero-network ledger-review boundary for AI, not an AI that operates Xero.

The maintained source is under packages/elizabeth-anne-alexander in the Accounting Review Pipeline. The elizabeth-anne-alexander distribution and command, and elizabeth_anne_alexander import, remain compatibility identifiers.

Xero Ledger Review Gate consumes synthetic Xero-shaped trial-balance fixtures and produces a bounded, redacted variance-review result alongside separate local review evidence. It deliberately features no network calls, no cloud telemetry, no LLM API clients, and zero accounting-system write operations.


Zero-Network Architecture

%%{init: {"themeVariables": {"lineColor": "#B1AFAD"}}}%%
flowchart TD
    subgraph ClientPerimeter ["Local Client Perimeter (Zero-Network)"]
        Raw["Synthetic Xero-Shaped Trial Balance Fixture"] --> Validate["Context & Hash Integrity Gate"]
        Validate --> Engine["Decimal Variance Review Engine<br/><i>(Fixed Policy v1)</i>"]
    end

    subgraph ArtifactSplit ["Deterministic Artefact Generation"]
        Engine --> Split{"Split Boundary"}
        Split --> Model["model-result.json<br/><i>(Redacted Bounded Values for AI)</i>"]
        Split --> Evidence["reviewer-evidence.json<br/><i>(Local Review Display Data)</i>"]
        Split --> Receipt["receipt.json<br/><i>(Local SHA-256 Checksum Binding)</i>"]
    end

    subgraph Governance ["Human-in-the-Loop Review"]
        Model --> LLM["AI Advisory Assessment"]
        Evidence & Receipt & LLM --> Reviewer["Human Accountant Review Gate"]
        Reviewer --> Decision{"Decision Status"}
        Decision -->|ACKNOWLEDGED| Done["Recorded Review Decision"]
        Decision -->|NEEDS_EVIDENCE / ESCALATED| Action["Further Investigation"]
    end

    style ClientPerimeter fill:#140E24,stroke:#4F485E,stroke-width:2px,color:#FFFFFF
    style ArtifactSplit fill:#1E1236,stroke:#5C2D91,stroke-width:2px,color:#FFFFFF
    style Governance fill:#2D184E,stroke:#8A4AC7,stroke-width:2px,color:#FFFFFF

Quick Demo

# Install package in editable development mode
pip install -e ".[dev]"

# Run deterministic evaluation
elizabeth-anne-alexander evaluate \
  --context samples/contexts/sample-monthly-variance.context.json \
  --request samples/requests/sample-revenue-variance.request.json \
  --policy policy/demo-policy-v1.json \
  --out build/demo

Validate a recorded human review decision

elizabeth-anne-alexander validate-review \
  --evidence build/demo/reviewer-evidence.json \
  --receipt build/demo/receipt.json \
  --decision samples/decisions/sample-review-decision.json

Control boundary

  • The canonical source contract has exactly ten columns: ReportDate,Tenant,Section,AccountID,AccountName,AccountCode,Debit,Credit,YTDDebit,YTDCredit.
  • The root contracts/xero-trial-balance-v1/ directory is the exporter-owned, fabricated xero-tb-csv.v1 corpus. Its SHA256SUMS file and every consumer's tests verify the same bytes locally, with no runtime network dependency.
  • CSV schema, duplicate account IDs, reporting dates, balance pairs, source hashes, entity, basis, currency, tracking filters, and draft setting are all checked before review.
  • Monetary values use Decimal, never binary floating point.
  • percent_change in the model result is expressed in percent and quantized to four decimal places ("18.3333" means 18.3333%). It is null when there is no prior balance to compare against.
  • The model result states its own currency and sign_convention. Amounts are debit-positive (ytd_net = YTDDebit - YTDCredit), so a revenue, liability, or equity balance is negative and a revenue increase shows as a negative delta.
  • Current and prior reports must sit in the same Australian financial year, or be the same day and month in different years. YTD columns reset on 1 July, so a comparison across the reset would report a whole prior-year balance as a movement.
  • Current/prior trial balances are joined by stable AccountID, not account display name or code.
  • An account changing section between periods fails closed instead of disappearing from, or being silently reclassified within, a section-scoped comparison.
  • The model result never contains a tenant name, account name, account code, source file path, token, raw error, or free text copied from source data.
  • Artefact timestamps (export.generated_at, reviewed_at) are accepted as YYYY-MM-DD, then T, t, or a space, then HH:MM with optional :SS and optional . plus one to six fractional digits, then Z, z, or +/-HH:MM with optional :SS. The gateway fixes that grammar itself rather than inheriting datetime.fromisoformat, whose accepted forms widened in Python 3.11: a bare +10 offset, a week date, a basic-format 20260809T000000+0000, and a fraction longer than six digits are refused on every interpreter, as is a separator character other than T, t, or a space.
  • The three run artefacts are staged beside their destinations and moved into place only once all three are written, receipt last. The moves are not one atomic step, so an interrupted run can still leave one new file beside two old ones; validate-review refuses that pack because the receipt checksum binds the reviewer evidence and model result sitting beside it. This detects mismatched local files, but the adjacent unkeyed receipt provides no independent trust anchor.
  • The package contains no network imports or mutation adapter. A future live connection must remain an authorised, read-only export handoff rather than an AI-controlled broad Xero tool set.

Scope and limitation

Every source manifest, review context, model result, reviewer evidence, and receipt is marked mode: synthetic. The policy, request, and human-decision files carry no mode key: each is validated against an exact key set, so adding one is rejected. The validate-review output carries no mode key either; it reports the decision status for a run whose artefacts were already checked. It is a local design demonstration, not a client-data processor, production security system, accounting service, or professional opinion. The reviewer evidence/model-result file split demonstrates disclosure minimisation only; it is not an access-control mechanism by itself.

Documentation & Governance

  • DATA-FLOW.md – Formal data-flow and zero-network security specification.
  • CITATION.cff – Academic and industry citation metadata.
  • LICENSE – MIT License.

Metadata

Release files for elizabeth-anne-alexander 0.2.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for elizabeth-anne-alexander 0.2.3
File Size Uploaded
elizabeth_anne_alexander-0.2.3.tar.gz 52.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for elizabeth-anne-alexander 0.2.3
File Interpreter ABI Platform
elizabeth_anne_alexander-0.2.3-py3-none-any.whl Python 3 none any Details

Total release size: 79.6 kB

Release files / elizabeth_anne_alexander-0.2.3.tar.gz

Download URL elizabeth_anne_alexander-0.2.3.tar.gz
Size 52.7 kB
Tags Source
SHA-256 checksum
How to use checksums
4e78996ea6d63e5a9c72d9f0d783092b23f825f63a3e7c11137e2a5687475bc8
BLAKE2b-256 checksum
How to use checksums
7ae76fa9155c21f0ec783b64ea097079a1ec9b201af5192a2cba226bfadf425c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 13, 2026.

Transparency log

Release files / elizabeth_anne_alexander-0.2.3-py3-none-any.whl

Download URL elizabeth_anne_alexander-0.2.3-py3-none-any.whl
Size 26.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ec95e7b46d40c772ff57b91352f9552da658e46aff2a34a5491b58dae5648580
BLAKE2b-256 checksum
How to use checksums
2f58cb66bec6d4d80cc9605f287f3f645cec5a06bfcb6631d00bac51748abdef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 13, 2026.

Transparency log

Release history Release notifications | RSS feed

0.2.6

2 release files

0.2.5

2 release files

0.2.4

2 release files

This release

0.2.3 This release

2 release files

0.2.2

2 release files

0.2.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page