Recipes/Retail/stateful
durable operation2–3 hr5 stages8 code languages

Operating journey: Choose the next store with evidence

Faster site screening and investment decisions grounded in a reusable spatial model.

The real-world moment

A retailer is comparing 60 candidate neighbourhoods for 12 stores. Analysts must combine travel-time catchments, competition, demographics, access and existing performance, explain every score, prevent data drift between committee meetings, and revoke a shared decision view after the acquisition window closes.

Make ownership visible before code.

Operate the full lifecycle with versioned state, hostile-path recovery, audit, and release evidence.

Application state
stateful
Planning calls
0
Credentials accepted
No
Write authority
None
01
Enterprise data products

Publish candidate sites and performance data

Own approved store performance, candidate, demand, competition and financial datasets with source, license, observation date and steward.

Dataset version ↔ source/license/date/schema/CRS/content hash

GETNearby API/api/places/nearby/jsonThis is a supporting operation from the selected product stack, not proof of an exact provider contract for this stage. Resolve the stage through its product source or adapter boundary before live implementation.

Record stage 1 with the application identity, source fingerprint, request or aggregate identity, timestamp, and observable outcome.

Demographic feed changes mid-analysis

Publish a new immutable input version and rerun; retain both result revisions and prevent silent replacement.

02
mGIS version registry

Generate drive-time catchments

Publishes immutable spatial dataset versions with content hash, schema, CRS, validation diagnostics and access policy.

Catchment attempt ↔ route profile, threshold, input versions, engine version

POSTPOI Along the Route API/api/places/along_routeThis is a supporting operation from the selected product stack, not proof of an exact provider contract for this stage. Resolve the stage through its product source or adapter boundary before live implementation.

Record stage 2 with the application identity, source fingerprint, request or aggregate identity, timestamp, and observable outcome.

Candidate geometry has the wrong CRS

Fail before processing with feature-level diagnostics and require a corrected dataset version.

03
Analysis engine

Join demand and competition signals

Creates parameterized catchments, joins exact input versions, normalizes signals and writes immutable scoring attempts and lineage.

Score attempt ↔ normalization, weights, exclusions, ties, output hash

GETAutoSuggest API/api/places/search/jsonThis is a supporting operation from the selected product stack, not proof of an exact provider contract for this stage. Resolve the stage through its product source or adapter boundary before live implementation.

Record stage 3 with the application identity, source fingerprint, request or aggregate identity, timestamp, and observable outcome.

Executive link is forwarded

Enforce audience/expiry, log access, prohibit export where required, and revoke the share without deleting lineage.

04
Analyst decision lab

Score and compare candidates

Compares candidates, sensitivity and exclusions without mutating source evidence; comments and selections name result revisions.

Share ↔ result revision, audience, expiry, export/embed policy, revocation

POSTTraveled Route Image API/{REST_KEY}/still_image_polylineThis is a supporting operation from the selected product stack, not proof of an exact provider contract for this stage. Resolve the stage through its product source or adapter boundary before live implementation.

Record stage 4 with the application identity, source fingerprint, request or aggregate identity, timestamp, and observable outcome.

Demographic feed changes mid-analysis

Publish a new immutable input version and rerun; retain both result revisions and prevent silent replacement.

05
Governed sharing

Share an executive decision map

Audience, expiry, export/embed rules, executive narrative and revocation wrap one immutable result rather than an untraceable screenshot.

Dataset version ↔ source/license/date/schema/CRS/content hash

GETStill Map Image API/{REST_KEY}/still_imageThis normalized operation matches the stage intent and remains subject to its source, lifecycle, authentication, entitlement, host, and regional gates.

Record stage 5 with the application identity, source fingerprint, request or aggregate identity, timestamp, and observable outcome.

Candidate geometry has the wrong CRS

Fail before processing with feature-level diagnostics and require a corrected dataset version.

Edit once. Generate eight trusted-runtime implementations.

The recipe starts from the normalized GET /api/places/nearby/json contract. Execute six deterministic fixture outcomes before an issued account is involved.

Local request composerCode stays local · fixtures are explicit
GETRequest inputs
10 editable · 0 protected
Generated in eight languages
Environment-backed credentials
GEThttps://atlas.mapmyindia.com/api/places/nearby/json?keywords=FODCOF&refLocation=28.612964%2C77.229463&page=1&region=IND&radius=10000&bounds=28.639256%2C77.211133%3B28.625214%2C77.237483&filter=categoryCode%3AFODCOF&sortBy=dist%3Aasc&searchBy=dist&pod=LC
Credential-free sandboxExecute this contract without a provider call
How fixtures work
Generated from your inputs
curl --request GET \
  --url 'https://atlas.mapmyindia.com/api/places/nearby/json?keywords=FODCOF&refLocation=28.612964%2C77.229463&page=1&region=IND&radius=10000&bounds=28.639256%2C77.211133%3B28.625214%2C77.237483&filter=categoryCode%3AFODCOF&sortBy=dist%3Aasc&searchBy=dist&pod=LC' \
  --header "Accept: application/json" \
  --header "Authorization: Bearer ${MAPPLS_ACCESS_TOKEN}"

Credential-safe by constructionSet MAPPLS_ACCESS_TOKEN only in your trusted runtime. Code generation stays local. Sandbox execution sends only bounded fixture inputs to this developer platform and never reads a credential or calls Mappls.

Break the journey before customers do.

These controls are required at this operating depth; deeper recipes add durable truth rather than merely more API calls.

Idempotent commandsOptimistic aggregate versionsEvent and receipt timeTransactional outboxUnknown-outcome reconciliationIndependent human decisionsRestart recoveryImmutable audit evidence

Definition of done

Every aggregate has an invariant, expected version, stable command identity, and attributable actor.

Duplicate, late, reordered, invalid, stale, timed-out, and restarted execution preserve one durable truth.

Unknown provider outcomes reconcile by original identity before replay or compensation.

Terminal decisions, human review, audit, outbox delivery, privacy, retention, and rollback remain independently evidenced.

Contracts, tutorials, and journeys stay linked.

Airside Turnaround Desk

Coordinate a revision-safe aircraft turnaround, pause for airside exceptions, preserve four service milestones, and require independent airline, airport, and safety readiness decisions.

Source-grounded, not authority-granting

This recipe composes source-derived contracts, application architecture, fixtures, and maintained learning evidence. It does not prove package availability, provider payload shape, account entitlement, regional behavior, production compatibility, or release approval.