Fixed starting data

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Open draft_for_approval.json and execute_approved.json before your first run. These are original synthetic starting states for maintainer inspection. Each run initializes a fresh World from the selected runtime seed; editing an exported JSON does not configure the runner.

Versions and source

Code 0.5.0, business task prototype-v0.1, language resources task-language-v0.4.0, data fixed-v0.2, JSON schema fixed-data-v0.2. The manifest records file hashes and row counts. provenance records source paths and hashes. Export uses the same World initialization as execution, excluding the duplicate maintainer initial_state field. There is no separately maintained seed or newly computed reference audience.

Top-level metadata includes dataset_id, task_id, fixed_clock, units, provenance, and agent_access; policy contains the fixed public English policy, and state contains initial business records. The JSON is not translated when display language changes. An agent's read_policy returns the selected task language.

Three data instances, unchanged policy

InstanceChange from baselinePurposeStarting files
baselineOriginal recordsPreserve original meaningDraft / Approved
partial_refundO009 refund changes from 10000 to 5000 cents, with payment still 10000 and completion one day before the clockA positive-net partial refund remains a valid purchaseDraft / Approved
contact_kindsM003's six-day-old wecom contact becomes service; add M001's one-day-old sms service contact and M008's six-day-old wecom marketing contact; retain M005's exact seven-day-old sms marketing contactOnly marketing contacts count, across all channels; service contacts do not exclude a memberDraft / Approved

The contact instance has four contact rows. All three have 8 members, 9 orders, 8 consent rows and 1 ticket. Each approved starting state has its own consistent campaign and approval; each draft state has neither. The budget field remains 3000 cents even when fewer people qualify. The old fixed-v0.1 files and 0.4.1 archive retain their original content.

There is one business template, two task states and three data instances: six task/data combinations. Maintainer expectations are defined separately from runtime seeds and the reference agent; they must not be returned through normal tools. Data variants do not change policy or add identity-merging scenarios.

Baseline rows and task-state differences

State tableDraft taskApproved taskFields and meaning
members88member_id: unified member ID
orders99order_id, member_id, status, paid_cents, refunded_cents, completed_at
consents88member_id, channel, valid; membership is not consent
contacts22member_id, channel, kind, occurred_at; includes different marketing channels
tickets11ticket_id, member_id, status; an open support case
campaigns01ID, audience IDs, channel, coupon value, budget, status, content digest
approvals01Approval/campaign IDs, bound content digest, status, approving seed identity
sends / coupons0 / 00 / 0Empty initial effect ledgers; these are not missing data

The approved task begins with campaign C001 and approval A001; the draft task has neither. Existing approved campaign content is a queryable business fact. No task starts with completed sends or coupon issuance.

Units and time

Inspect without modifying

From the package root after creating the environment in the quick start:

.venv/bin/python -m json.tool data/fixed-v0.2/baseline/draft_for_approval.json
.venv/bin/python -m json.tool data/fixed-v0.2/baseline/execute_approved.json
.venv/bin/python scripts/export_fixed_data.py --output data/fixed-v0.2 --check

--check compares the saved data with a fresh runtime initialization; it does not run an agent or scorer. A mismatch needs maintainer review, not manual edits to pass the check. This guide does not require regeneration or replacement.

Agent boundary

Full exports are maintainer material. Normal agents query members, orders, consents, contacts, tickets and policy through their existing read tools, and campaigns through list/get tools. Full approval, send and coupon ledgers in the export are maintainer-only; this does not hide the lawful approved campaign itself. Reference audiences, scores, and scoring internals are not exported as new answer fields or exposed through normal tools.

The agent-input specifications describe tasks and tools in the selected language and data instance; their file count is not a business-scenario count or a set of raw-data tables. Do not feed a full source archive, export, or prior report to the tested agent. This interface boundary is not a hostile-code sandbox. The data is not a training dataset or a new HF dataset publication. Historical model results remain code 0.3.0; current examples are synthetic scripts, not additional model results.