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Choose compatible client pilot-test sessions

Select nonoverlapping client pilot-test sessions from preapproved offered windows using supplied acceptance priorities.

Experimental native example · local preview · revision 1

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What you need

  • Authorized supplied facts matching the closed contract.
  • Declared completeness, identity and unit assumptions reviewed by an agency operator.
Follow the workflow step by step
  1. Supplied agency data

    Receive the explicitly supplied manual input packet.

  2. Choose compatible client pilot-test sessions

    Select nonoverlapping client pilot-test sessions from preapproved offered windows using supplied acceptance priorities.

Setup and review

  • Download the workflow JSON from this page and inspect its inputs schema and Code node.
  • Prepare a synthetic packet matching the input schema. Keep unknown values explicit and report completeness honestly.
  • Review the on-page literal example before running your own supplied-data case.
  • Inspect every unknown, tie, missing reference or bounded status before taking a downstream action.

Inspect every node

Expand a node to inspect its complete settings. Review the runtime and adoption evidence before installing it.

Supplied agency data · wfManualTrigger
{
  "label": "Supplied agency data"
}
Choose compatible client pilot-test sessions · code
{
  "code": "\nfunction fail(reason){throw new Error('input: '+reason);}\nfunction check(schema,value,where){\n if(value===null){if(schema.type==='null'||Array.isArray(schema.type)&&schema.type.includes('null'))return;fail(where+' wrong_type');}\n const type=Array.isArray(schema.type)?schema.type[0]:schema.type;\n if(type==='object'){\n  if(!value||typeof value!=='object'||Array.isArray(value))fail(where+' wrong_type');\n  for(const name of Object.keys(value))if(!Object.hasOwn(schema.properties,name))fail(where+' unknown_field');\n  for(const name of schema.required)if(!Object.hasOwn(value,name))fail(where+' missing_field');\n  for(const [name,shape]of Object.entries(schema.properties))check(shape,value[name],where+'.'+name);\n }else if(type==='array'){\n  if(!Array.isArray(value)||value.length>schema.maxItems)fail(where+' array_bound');\n  for(const item of value)check(schema.items,item,where+'[]');\n }else if(type==='string'){if(typeof value!=='string'||value.length>schema.maxLength)fail(where+' string_bound');}\n else if(type==='integer'){if(!Number.isSafeInteger(value)||value<schema.minimum||value>schema.maximum)fail(where+' integer_bound');}\n else if(type==='boolean'){if(typeof value!=='boolean')fail(where+' wrong_type');}\n else fail(where+' unsupported_type');\n}\nfunction id(value){if(typeof value!=='string'||!value||value.trim()!==value)fail('noncanonical_identity');return value;}\nfunction unique(values,reason){if(new Set(values).size!==values.length)fail(reason);}\nfunction safeAdd(a,b){if(a>Number.MAX_SAFE_INTEGER-b)fail('unsafe_sum');return a+b;}\nfunction day(value){if(!/^\\d{4}-\\d{2}-\\d{2}$/.test(value))fail('invalid_calendar_day');const ms=Date.parse(value+'T00:00:00Z');if(!Number.isFinite(ms)||new Date(ms).toISOString().slice(0,10)!==value)fail('invalid_calendar_day');return ms;}\nfunction refKey(ref){id(ref.assetId);if(ref.version<1)fail('positive_version_required');return JSON.stringify([ref.assetId,ref.version]);}\nfunction refValue(key){const pair=JSON.parse(key);return {assetId:pair[0],version:pair[1]};}\nfunction sortedRefs(keys){return [...keys].sort().map(refValue);}\n\nfunction lexIds(a,b){for(let i=0;i<Math.min(a.length,b.length);i++){if(a[i]<b[i])return -1;if(a[i]>b[i])return 1;}return a.length-b.length;}\nfunction maxSubset(rows,idField,feasible){let best=-1,ids=[],ties=0;for(let mask=0;mask<2**rows.length;mask++){const chosen=rows.filter((_,i)=>mask&(1<<i));if(!feasible(chosen))continue;const value=chosen.reduce((n,r)=>n+r.valuePoints,0),current=chosen.map(r=>r[idField]).sort();if(value>best){best=value;ids=current;ties=1;}else if(value===best){ties++;if(lexIds(current,ids)<0)ids=current;}}return {ids,value:best,ties};}\nfunction rat(n,d){if(d===0n)fail('zero_denominator');if(d<0n){n=-n;d=-d;}let a=n<0n?-n:n,b=d;while(b){const next=a%b;a=b;b=next;}return [n/a,d/a];}\nfunction ratAdd(a,b){return rat(a[0]*b[1]+b[0]*a[1],a[1]*b[1]);}\nfunction ratSub(a,b){return rat(a[0]*b[1]-b[0]*a[1],a[1]*b[1]);}\nfunction ratMul(a,b){return rat(a[0]*b[0],a[1]*b[1]);}\nfunction ratText(a){return a[0].toString()+'/'+a[1].toString();}\n\n\ncheck({\"type\":\"object\",\"properties\":{\"scopeId\":{\"type\":\"string\",\"maxLength\":128},\"selectionComplete\":{\"type\":[\"boolean\",\"null\"]},\"sessions\":{\"type\":\"array\",\"items\":{\"type\":\"object\",\"properties\":{\"sessionId\":{\"type\":\"string\",\"maxLength\":128},\"startMinute\":{\"type\":\"integer\",\"minimum\":0,\"maximum\":1440},\"endMinute\":{\"type\":\"integer\",\"minimum\":0,\"maximum\":1440},\"valuePoints\":{\"type\":[\"integer\",\"null\"],\"minimum\":0,\"maximum\":1000000}},\"required\":[\"sessionId\",\"startMinute\",\"endMinute\",\"valuePoints\"],\"additionalProperties\":false},\"maxItems\":12}},\"required\":[\"scopeId\",\"selectionComplete\",\"sessions\"],\"additionalProperties\":false},context.input,\"input\");\nconst result=(function sessions(x){\n id(x.scopeId);unique(x.sessions.map(s=>id(s.sessionId)),'duplicate_session_id');for(const s of x.sessions)if(s.endMinute<=s.startMinute)fail('invalid_interval');\n const unknown=x.sessions.filter(s=>s.valuePoints===null).map(s=>s.sessionId).sort();\n if(x.selectionComplete!==true||unknown.length)return {status:'unknown',selectedIds:[],totalValuePoints:null,optimalTieCount:null,unknownSessionIds:unknown};\n const choice=maxSubset(x.sessions,'sessionId',rows=>rows.every((a,i)=>rows.slice(i+1).every(b=>a.endMinute<=b.startMinute||b.endMinute<=a.startMinute)));\n return {status:'optimal_within_supplied_sessions',selectedIds:choice.ids,totalValuePoints:choice.value,optimalTieCount:choice.ties,unknownSessionIds:[]};\n})(context.input);\ncheck({\"type\":\"object\",\"properties\":{\"status\":{\"type\":\"string\",\"maxLength\":128},\"selectedIds\":{\"type\":\"array\",\"items\":{\"type\":\"string\",\"maxLength\":128},\"maxItems\":100},\"totalValuePoints\":{\"type\":[\"integer\",\"null\"],\"minimum\":0,\"maximum\":12000000},\"optimalTieCount\":{\"type\":[\"integer\",\"null\"],\"minimum\":0,\"maximum\":4096},\"unknownSessionIds\":{\"type\":\"array\",\"items\":{\"type\":\"string\",\"maxLength\":128},\"maxItems\":100}},\"required\":[\"status\",\"selectedIds\",\"totalValuePoints\",\"optimalTieCount\",\"unknownSessionIds\"],\"additionalProperties\":false},result,\"output\");\nreturn result;",
  "label": "Choose compatible client pilot-test sessions",
  "memoryLimit": 16,
  "outputVar": "result",
  "timeout": 1000
}
Input and output contracts

Input

{
  "type": "object",
  "properties": {
    "scopeId": {
      "type": "string",
      "maxLength": 128
    },
    "selectionComplete": {
      "type": [
        "boolean",
        "null"
      ]
    },
    "sessions": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "sessionId": {
            "type": "string",
            "maxLength": 128
          },
          "startMinute": {
            "type": "integer",
            "minimum": 0,
            "maximum": 1440
          },
          "endMinute": {
            "type": "integer",
            "minimum": 0,
            "maximum": 1440
          },
          "valuePoints": {
            "type": [
              "integer",
              "null"
            ],
            "minimum": 0,
            "maximum": 1000000
          }
        },
        "required": [
          "sessionId",
          "startMinute",
          "endMinute",
          "valuePoints"
        ],
        "additionalProperties": false
      },
      "maxItems": 12
    }
  },
  "required": [
    "scopeId",
    "selectionComplete",
    "sessions"
  ],
  "additionalProperties": false
}

Output

{
  "type": "object",
  "properties": {
    "status": {
      "type": "string",
      "maxLength": 128
    },
    "selectedIds": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 128
      },
      "maxItems": 100
    },
    "totalValuePoints": {
      "type": [
        "integer",
        "null"
      ],
      "minimum": 0,
      "maximum": 12000000
    },
    "optimalTieCount": {
      "type": [
        "integer",
        "null"
      ],
      "minimum": 0,
      "maximum": 4096
    },
    "unknownSessionIds": {
      "type": "array",
      "items": {
        "type": "string",
        "maxLength": 128
      },
      "maxItems": 100
    }
  },
  "required": [
    "status",
    "selectedIds",
    "totalValuePoints",
    "optimalTieCount",
    "unknownSessionIds"
  ],
  "additionalProperties": false
}

Choose an output for this job

This business workflow also has 15 delivery formats. Compare their inputs, output examples and limits.

Compare implementations for this job

Example input and result

These examples use synthetic data.

Input

{
  "scopeId": "client-A",
  "selectionComplete": true,
  "sessions": [
    {
      "sessionId": "a",
      "startMinute": 0,
      "endMinute": 20,
      "valuePoints": 2
    },
    {
      "sessionId": "b",
      "startMinute": 20,
      "endMinute": 40,
      "valuePoints": 3
    },
    {
      "sessionId": "c",
      "startMinute": 0,
      "endMinute": 40,
      "valuePoints": 4
    }
  ]
}

Expected result

{
  "status": "optimal_within_supplied_sessions",
  "selectedIds": [
    "a",
    "b"
  ],
  "totalValuePoints": 5,
  "optimalTieCount": 1,
  "unknownSessionIds": []
}

Success means: Select nonoverlapping client pilot-test sessions from preapproved offered windows using supplied acceptance priorities.

When something goes wrong

  • Correct malformed facts and rerun. Incomplete or unknown facts remain uncertain; do not fabricate a resolution.

Limits and costs

  • Half-open relative-minute windows, not dates/time zones or verified availability. Up to 12 candidate sessions; positive durations; equal endpoints may touch. Explicit value points and exhaustive bounded subset search. A long test session can prevent two shorter, higher-value sessions from fitting. The operation checks all subsets of up to twelve offered sessions, using half-open relative-minute intervals. Touching endpoints are compatible. The chosen set maximizes supplied priority points; this is a planning packet, not a calendar booking or verified statement of client availability.
  • No paid model calls or metered third-party operations are declared in this pure graph. Vora plan availability, compute and quotas still apply; pricing has not been verified by this batch.

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Choose compatible client pilot-test sessions

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Required input fields
{
  "type": "object",
  "properties": {
    "scopeId": {
      "type": "string",
      "maxLength": 128
    },
    "selectionComplete": {
      "type": [
        "boolean",
        "null"
      ]
    },
    "sessions": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "sessionId": {
            "type": "string",
            "maxLength": 128
          },
          "startMinute": {
            "type": "integer",
            "minimum": 0,
            "maximum": 1440
          },
          "endMinute": {
            "type": "integer",
            "minimum": 0,
            "maximum": 1440
          },
          "valuePoints": {
            "type": [
              "integer",
              "null"
            ],
            "minimum": 0,
            "maximum": 1000000
          }
        },
        "required": [
          "sessionId",
          "startMinute",
          "endMinute",
          "valuePoints"
        ],
        "additionalProperties": false
      },
      "maxItems": 12
    }
  },
  "required": [
    "scopeId",
    "selectionComplete",
    "sessions"
  ],
  "additionalProperties": false
}