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      "content": "# Power BI discovery knowledge-base north star\n\nYou are the scribe and thinker at the centre of an evidence-led Power BI\ndiscovery engagement.\n\nYour job is to turn observations into a useful, navigable gold wiki for a\ntechnical Power BI professional. The wiki is the brain of the engagement: it\nmust explain what is known, why it is believed, what the access boundary was,\nhow the observed current state compares with the spreadsheet-declared target,\nand what still needs consultant or client resolution.\n\nWork from evidence, not narrative memory. Start with the architecture map, use\nsilver searches and exact object reads to orient yourself, and descend to\nbronze evidence only where a claim needs confirmation. Existing gold is useful\ncontext but is never stronger than its cited evidence.\n\nTreat these authority classes differently:\n\n- `observed`: directly returned by an audit or exact evidence read.\n- `declared`: stated in a client workbook or registered source.\n- `interpreted`: an analytical conclusion derived from evidence.\n- `decided`: confirmed by a recorded consultant or client decision.\n- `unknown`: not established inside the available access boundary.\n\nNever turn \"not observed\" into \"does not exist\". Make limitations and\nuncertainty visible. Use Australian English. Prefer concise technical prose,\nspecific table/field/measure names, and typed links between pages.\n\nDo not mutate mapping cases, decisions, audit records, or evidence. Your sole\nwrite outcome is one complete `save_review` proposal in the senior phase.\n\n\n# Gold wiki page style\n\nWrite for a technical Power BI professional who needs to inspect and challenge\nthe discovery.\n\n- Put the conclusion and status first.\n- Use exact model, table, field, measure, relationship, workbook, and sheet\n  names where known.\n- Separate observations, declarations, interpretations, decisions, and\n  unknowns.\n- State evidence limitations next to the affected finding.\n- Use short Markdown sections and tables when they improve inspection.\n- Avoid sales language, generic project narration, and claims that the target\n  has been implemented.\n- Page IDs must be stable lowercase identifiers using letters, digits, dots,\n  underscores, or hyphens.\n- Keep page bodies self-contained; relationships provide navigation rather\n  than substituting for explanation.\n\n\n# Junior evidence walk\n\nAct as a read-only research analyst.\n\n1. Call `architecture_map` first.\n2. Inspect enough silver records to understand the current semantic model, the\n   target workbook, every important mapping class, recorded decisions, gaps,\n   and limitations.\n3. Descend to evidence packets, workbook ranges, audit JSON objects, supporting\n   sources, or current gold only when useful.\n4. Build an evidence bundle for the senior. Include exact object IDs and\n   evidence artifact IDs. Identify material uncertainties and topics that need\n   their own wiki pages.\n5. Finish only by calling `request_review`.\n\nYou do not have the authority to author gold pages or reach a final verdict.\nDo not give the senior a pre-written `save_review`; hand over evidence and open\nquestions so the senior performs an independent synthesis.\n",
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model\"}, {\"coordinate\": \"J10\", \"data_type\": \"inlineStr\", \"number_format\": \"General\", \"value\": null}, {\"coordinate\": \"A11\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"column\"}, {\"coordinate\": \"B11\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Ledger\"}, {\"coordinate\": \"C11\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"IsAdjustment\"}, {\"coordinate\": \"D11\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Boolean\"}, {\"coordinate\": \"E11\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Identifies late or manual adjustments.\"}, {\"coordinate\": \"F11\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Yes\"}, {\"coordinate\": \"G11\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Ledger.IsAdjustment\"}, {\"coordinate\": \"H11\", \"data_type\": \"n\", \"number_format\": \"General\", \"value\": null}, {\"coordinate\": \"I11\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Existing Power BI semantic model\"}, {\"coordinate\": \"J11\", \"data_type\": \"inlineStr\", \"number_format\": \"General\", \"value\": null}, {\"coordinate\": \"A12\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"column\"}, {\"coordinate\": \"B12\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Ledger\"}, {\"coordinate\": \"C12\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"CostCentre\"}, {\"coordinate\": \"D12\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"String\"}, {\"coordinate\": \"E12\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Management cost-centre code.\"}, {\"coordinate\": \"F12\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Yes\"}, {\"coordinate\": \"G12\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Ledger.CostCentre\"}, {\"coordinate\": \"H12\", \"data_type\": \"n\", \"number_format\": \"General\", \"value\": null}, {\"coordinate\": \"I12\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Finance posting source / embedded reference data\"}, {\"coordinate\": \"J12\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Not expected in current test model.\"}, {\"coordinate\": \"A13\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"column\"}, {\"coordinate\": \"B13\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Ledger\"}, {\"coordinate\": \"C13\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"CurrencyCode\"}, {\"coordinate\": \"D13\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"String\"}, {\"coordinate\": \"E13\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"ISO reporting currency code.\"}, {\"coordinate\": \"F13\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Yes\"}, {\"coordinate\": \"G13\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Ledger.CurrencyCode\"}, {\"coordinate\": \"H13\", \"data_type\": \"n\", \"number_format\": \"General\", \"value\": null}, {\"coordinate\": \"I13\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Finance posting source\"}, {\"coordinate\": \"J13\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Not expected in current test model.\"}, {\"coordinate\": \"A14\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"column\"}, {\"coordinate\": \"B14\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Account\"}, {\"coordinate\": \"C14\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"AccountGroup\"}, {\"coordinate\": \"D14\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"String\"}, {\"coordinate\": \"E14\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Management reporting group above account type.\"}, {\"coordinate\": \"F14\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Yes\"}, {\"coordinate\": \"G14\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Account.AccountGroup\"}, {\"coordinate\": \"H14\", \"data_type\": \"n\", \"number_format\": \"General\", \"value\": null}, {\"coordinate\": \"I14\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Account master / embedded mapping\"}, {\"coordinate\": \"J14\", \"data_type\": \"s\", \"number_format\": \"General\", \"value\": \"Target enrichment requirement.\"}], \"range\": \"A1:J14\", \"sheet\": \"Target Fields\"}}}",
      "name": "get_workbook_range",
      "role": "tool",
      "tool_call_id": "call_23JFGrZqci2CPjylToOxEj7o"
    },
    {
      "content": "{\"ok\": true, \"result\": {\"artifact_id\": \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\", \"layer\": \"bronze\", \"observed\": {\"data\": [{\"columnCount\": 3, \"name\": \"Account\", \"partitionCount\": 1, \"storageMode\": \"Import\"}, {\"columnCount\": 3, \"name\": \"Calendar\", \"partitionCount\": 1, \"storageMode\": \"Import\"}, {\"columnCount\": 4, \"name\": \"Ledger\", \"partitionCount\": 1, \"storageMode\": \"Import\"}, {\"columnCount\": 1, \"measureCount\": 4, \"name\": \"Metrics\", \"partitionCount\": 1, \"storageMode\": \"Import\"}, {\"columnCount\": 7, \"hierarchyCount\": 1, \"isHidden\": true, \"isPrivate\": true, \"name\": \"DateTableTemplate_4a3e593b-a196-4a2f-9343-f7dc0519ce56\", \"partitionCount\": 1, \"storageMode\": \"Import\"}, {\"columnCount\": 7, \"hierarchyCount\": 1, \"isHidden\": true, \"name\": \"LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31\", \"partitionCount\": 1, \"showAsVariationsOnly\": true, \"storageMode\": \"Import\"}], \"message\": \"Found 6 tables\", \"operation\": \"List\"}, \"pointer\": \"/inventory/tables\"}}",
      "name": "get_audit_object",
      "role": "tool",
      "tool_call_id": "call_4eAVWMgT806idKVqcIhU3b0C"
    },
    {
      "content": "{\"ok\": true, \"result\": {\"artifact_id\": \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\", \"layer\": \"bronze\", \"observed\": {\"data\": [{\"columns\": [{\"dataType\": \"Int64\", \"name\": \"AccountKey\", \"summarizeBy\": \"None\"}, {\"dataType\": \"String\", \"name\": \"AccountName\", \"summarizeBy\": \"None\"}, {\"dataType\": \"String\", \"name\": \"AccountType\", \"summarizeBy\": \"None\"}], \"tableName\": \"Account\"}, {\"columns\": [{\"dataType\": \"Int64\", \"name\": \"DateKey\", \"summarizeBy\": \"None\"}, {\"dataType\": \"DateTime\", \"formatString\": \"yyyy-mm-dd\", \"name\": \"Date\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Int64\", \"name\": \"FiscalMonth\", \"summarizeBy\": \"Sum\"}], \"tableName\": \"Calendar\"}, {\"columns\": [{\"dataType\": \"Int64\", \"name\": \"DateKey\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Int64\", \"name\": \"AccountKey\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Decimal\", \"formatString\": \"$#,0.00;($#,0.00)\", \"name\": \"SignedAmount\", \"summarizeBy\": \"Sum\"}, {\"dataType\": \"Boolean\", \"name\": \"IsAdjustment\", \"summarizeBy\": \"None\"}], \"tableName\": \"Ledger\"}, {\"columns\": [{\"dataType\": \"String\", \"name\": \"Placeholder\", \"summarizeBy\": \"None\"}], \"tableName\": \"Metrics\"}, {\"columns\": [{\"dataType\": \"DateTime\", \"formatString\": \"General Date\", \"isHidden\": true, \"name\": \"Date\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Int64\", \"formatString\": \"0\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"Year\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Int64\", \"formatString\": \"0\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"MonthNo\", \"summarizeBy\": \"None\"}, {\"dataType\": \"String\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"Month\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Int64\", \"formatString\": \"0\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"QuarterNo\", \"summarizeBy\": \"None\"}, {\"dataType\": \"String\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"Quarter\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Int64\", \"formatString\": \"0\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"Day\", \"summarizeBy\": \"None\"}], \"tableName\": \"DateTableTemplate_4a3e593b-a196-4a2f-9343-f7dc0519ce56\"}, {\"columns\": [{\"dataType\": \"DateTime\", \"formatString\": \"General Date\", \"isHidden\": true, \"name\": \"Date\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Int64\", \"formatString\": \"0\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"Year\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Int64\", \"formatString\": \"0\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"MonthNo\", \"summarizeBy\": \"None\"}, {\"dataType\": \"String\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"Month\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Int64\", \"formatString\": \"0\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"QuarterNo\", \"summarizeBy\": \"None\"}, {\"dataType\": \"String\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"Quarter\", \"summarizeBy\": \"None\"}, {\"dataType\": \"Int64\", \"formatString\": \"0\", \"isCalculated\": true, \"isHidden\": true, \"name\": \"Day\", \"summarizeBy\": \"None\"}], \"tableName\": \"LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31\"}], \"message\": \"Found 25 columns across 6 tables\", \"operation\": \"List\"}, \"pointer\": \"/inventory/columns\"}}",
      "name": "get_audit_object",
      "role": "tool",
      "tool_call_id": "call_nqDfTcqFiFxUt6PbHZqdVtWO"
    },
    {
      "content": "{\"ok\": true, \"result\": {\"artifact_id\": \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\", \"layer\": \"bronze\", \"observed\": {\"data\": [{\"partitions\": [{\"mode\": \"Import\", \"name\": \"Account\", \"sourceType\": \"M\", \"state\": \"Ready\", \"tableName\": \"Account\"}], \"tableName\": \"Account\"}, {\"partitions\": [{\"mode\": \"Import\", \"name\": \"Calendar\", \"sourceType\": \"M\", \"state\": \"Ready\", \"tableName\": \"Calendar\"}], \"tableName\": \"Calendar\"}, {\"partitions\": [{\"mode\": \"Import\", \"name\": \"Ledger\", \"sourceType\": \"M\", \"state\": \"Ready\", \"tableName\": \"Ledger\"}], \"tableName\": \"Ledger\"}, {\"partitions\": [{\"mode\": \"Import\", \"name\": \"Metrics\", \"sourceType\": \"M\", \"state\": \"Ready\", \"tableName\": \"Metrics\"}], \"tableName\": \"Metrics\"}, {\"partitions\": [{\"mode\": \"Import\", \"name\": \"DateTableTemplate_4a3e593b-a196-4a2f-9343-f7dc0519ce56\", \"sourceType\": \"Calculated\", \"state\": \"Ready\", \"tableName\": \"DateTableTemplate_4a3e593b-a196-4a2f-9343-f7dc0519ce56\"}], \"tableName\": \"DateTableTemplate_4a3e593b-a196-4a2f-9343-f7dc0519ce56\"}, {\"partitions\": [{\"mode\": \"Import\", \"name\": \"LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31\", \"sourceType\": \"Calculated\", \"state\": \"Ready\", \"tableName\": \"LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31\"}], \"tableName\": \"LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31\"}], \"message\": \"Found 6 partitions across 6 tables\", \"operation\": \"LIST\"}, \"pointer\": \"/inventory/partitions\"}}",
      "name": "get_audit_object",
      "role": "tool",
      "tool_call_id": "call_XfLymLW2J9YDVNEZMDkCxaMu"
    },
    {
      "content": "{\"ok\": true, \"result\": {\"elements\": [], \"layer\": \"silver\", \"mapping_cases\": [], \"query\": \"security roles data sources partitions expressions relationships Calendar Account Ledger\"}}",
      "name": "search_silver",
      "role": "tool",
      "tool_call_id": "call_vEXo2JgAdsY1YpbS66KcBCwv"
    },
    {
      "content": "{\"ok\": true, \"result\": {\"sources\": []}}",
      "name": "list_sources",
      "role": "tool",
      "tool_call_id": "call_As9C0aB4Zz4qY5OKtP20RZvx"
    },
    {
      "content": null,
      "role": "assistant",
      "tool_calls": [
        {
          "function": {
            "arguments": "{\"case_id\":\"map_47383e49dcf96f5e28345fe2ecc247ad\"}",
            "name": "get_mapping_case"
          },
          "id": "call_pr3oi44f7kyN3480JAJzsdur",
          "index": 0,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"case_id\":\"map_bd71aba83eefd2697ddad85ccfaf242e\"}",
            "name": "get_mapping_case"
          },
          "id": "call_FaPW65VmQmkUTIi4XGDtxK0Y",
          "index": 0,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"case_id\":\"map_1da82d343bb576fc267444b7236c33a6\"}",
            "name": "get_mapping_case"
          },
          "id": "call_nSH0J2qU2vXzwFXd9wOMN22W",
          "index": 0,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"case_id\":\"map_1e52e17657289ca27858a71f32bf8b41\"}",
            "name": "get_mapping_case"
          },
          "id": "call_3jPJdWtuOXgfxEfcTSMcSZPa",
          "index": 0,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"case_id\":\"map_14866b939d23a75708629f22790e668c\"}",
            "name": "get_mapping_case"
          },
          "id": "call_xfjFY3ux1tXAs8HwI9t6FQal",
          "index": 0,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"case_id\":\"map_10da16a35e04427b51b8bb18d6d2a52d\"}",
            "name": "get_mapping_case"
          },
          "id": "call_DtcQXBODGAecUZDrgoXKuSpR",
          "index": 0,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"case_id\":\"map_1f70f20f514ef40083aea5c23c840355\"}",
            "name": "get_mapping_case"
          },
          "id": "call_NsIsNNEI7XzmAgWFk0Xp411a",
          "index": 0,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"artifact_id\":\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"pointer\":\"/inventory/roles\"}",
            "name": "get_audit_object"
          },
          "id": "call_KJcpev7BVmmQhneNXR0sjAKt",
          "index": 0,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"artifact_id\":\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"pointer\":\"/inventory/dataSources\"}",
            "name": "get_audit_object"
          },
          "id": "call_ZZVMD4qFfSvjpVG6Hl2kHT9W",
          "index": 0,
          "type": "function"
        },
        {
          "function": {
            "arguments": "{\"artifact_id\":\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"pointer\":\"/inventory/expressions\"}",
            "name": "get_audit_object"
          },
          "id": "call_jgNfGLuVCqyMyWHDJ9AFp4R8",
          "index": 0,
          "type": "function"
        }
      ]
    },
    {
      "content": "{\"ok\": true, \"result\": {\"candidates\": [{\"candidate_id\": \"candidate_0b4786a6ac3e29e43d5e7c77448f4017\", \"case_id\": \"map_47383e49dcf96f5e28345fe2ecc247ad\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"current_element_id\": \"element_7892785663ebde7ab14cdd1128fdcbb5\", \"current_name\": \"Account.AccountName\", \"current_properties\": {\"dataType\": \"String\", \"name\": \"AccountName\", \"summarizeBy\": \"None\", \"tableName\": \"Account\"}, \"current_properties_json\": \"{\\\"dataType\\\": \\\"String\\\", \\\"name\\\": \\\"AccountName\\\", \\\"summarizeBy\\\": \\\"None\\\", \\\"tableName\\\": \\\"Account\\\"}\", \"evidence\": {\"current_qualified_name\": \"Account.AccountName\", \"rank\": 1}, \"evidence_json\": \"{\\\"current_qualified_name\\\": \\\"Account.AccountName\\\", \\\"rank\\\": 1}\", \"nomination_method\": \"qualified_name\", \"proposed_relationship\": \"exact\", \"score\": 1.0, \"status\": \"selected\"}], \"decisions\": [{\"action\": \"confirm_mapping\", \"actor_id\": \"synthetic-consultant\", \"actor_type\": \"human\", \"case_id\": \"map_47383e49dcf96f5e28345fe2ecc247ad\", \"decided_at\": \"2026-07-29T16:30:28.941Z\", \"decision_id\": \"decision_c9b14808b8295b1fa9c627f9224c272e\", \"expected_version\": 1, \"reason\": \"Synthetic consultant confirms deterministic mapping.\", \"receipt_artifact_id\": \"ev_sha256_4df30b07fa155491c163d2d2eab2fbb5ac8cda97c270924f9bf205c3370f2e63\", \"selected_candidates\": [\"candidate_0b4786a6ac3e29e43d5e7c77448f4017\"], \"selected_candidates_json\": \"[\\\"candidate_0b4786a6ac3e29e43d5e7c77448f4017\\\"]\"}], \"layer\": \"silver\", \"mapping_case\": {\"case_id\": \"map_47383e49dcf96f5e28345fe2ecc247ad\", \"coverage_state\": \"satisfied\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"priority\": 100, \"properties\": {\"current_snapshot_id\": \"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\", \"target_properties\": {\"business_definition\": \"Finance account display name.\", \"current_hint\": \"Account.AccountName\", \"data_type\": \"String\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 3, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"target_qualified_name\": \"Account.AccountName\", \"target_snapshot_id\": \"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\"}, \"relationship_type\": \"exact\", \"required_action\": \"reuse_as_is\", \"review_state\": \"consultant_confirmed\", \"scope_state\": \"not_considered\", \"state\": \"resolved\", \"target_element_id\": \"element_28a4208d67bc90518482df87bb437e49\", \"target_name\": \"Account.AccountName\", \"target_properties\": {\"business_definition\": \"Finance account display name.\", \"current_hint\": \"Account.AccountName\", \"data_type\": \"String\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 3, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"title\": \"Map Account.AccountName\", \"updated_at\": \"2026-07-29T16:30:28.941Z\", \"version\": 2}}}",
      "name": "get_mapping_case",
      "role": "tool",
      "tool_call_id": "call_pr3oi44f7kyN3480JAJzsdur"
    },
    {
      "content": "{\"ok\": true, \"result\": {\"candidates\": [{\"candidate_id\": \"candidate_1d86ca7d305ef54a8c74cd8d6bd5bfa1\", \"case_id\": \"map_bd71aba83eefd2697ddad85ccfaf242e\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"current_element_id\": \"element_a11672dab1dd75162b991a2764ac9178\", \"current_name\": \"Account.AccountType\", \"current_properties\": {\"dataType\": \"String\", \"name\": \"AccountType\", \"summarizeBy\": \"None\", \"tableName\": \"Account\"}, \"current_properties_json\": \"{\\\"dataType\\\": \\\"String\\\", \\\"name\\\": \\\"AccountType\\\", \\\"summarizeBy\\\": \\\"None\\\", \\\"tableName\\\": \\\"Account\\\"}\", \"evidence\": {\"current_qualified_name\": \"Account.AccountType\", \"rank\": 1}, \"evidence_json\": \"{\\\"current_qualified_name\\\": \\\"Account.AccountType\\\", \\\"rank\\\": 1}\", \"nomination_method\": \"qualified_name\", \"proposed_relationship\": \"exact\", \"score\": 1.0, \"status\": \"selected\"}], \"decisions\": [{\"action\": \"confirm_mapping\", \"actor_id\": \"synthetic-consultant\", \"actor_type\": \"human\", \"case_id\": \"map_bd71aba83eefd2697ddad85ccfaf242e\", \"decided_at\": \"2026-07-29T16:30:29.084Z\", \"decision_id\": \"decision_38398f3b5cdea7bf7ea71a41b56b441d\", \"expected_version\": 1, \"reason\": \"Synthetic consultant confirms deterministic mapping.\", \"receipt_artifact_id\": \"ev_sha256_8c8d24e22fc0d23cd4e475c7ba4ddffda702eaa3f5a08527782f5e4d18f7a633\", \"selected_candidates\": [\"candidate_1d86ca7d305ef54a8c74cd8d6bd5bfa1\"], \"selected_candidates_json\": \"[\\\"candidate_1d86ca7d305ef54a8c74cd8d6bd5bfa1\\\"]\"}], \"layer\": \"silver\", \"mapping_case\": {\"case_id\": \"map_bd71aba83eefd2697ddad85ccfaf242e\", \"coverage_state\": \"satisfied\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"priority\": 100, \"properties\": {\"current_snapshot_id\": \"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\", \"target_properties\": {\"business_definition\": \"Revenue or expense classification.\", \"current_hint\": \"Account.AccountType\", \"data_type\": \"String\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 4, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"target_qualified_name\": \"Account.AccountType\", \"target_snapshot_id\": \"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\"}, \"relationship_type\": \"exact\", \"required_action\": \"reuse_as_is\", \"review_state\": \"consultant_confirmed\", \"scope_state\": \"not_considered\", \"state\": \"resolved\", \"target_element_id\": \"element_1db9bbba61cf2d8c427c816e6ca58a39\", \"target_name\": \"Account.AccountType\", \"target_properties\": {\"business_definition\": \"Revenue or expense classification.\", \"current_hint\": \"Account.AccountType\", \"data_type\": \"String\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 4, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"title\": \"Map Account.AccountType\", \"updated_at\": \"2026-07-29T16:30:29.084Z\", \"version\": 2}}}",
      "name": "get_mapping_case",
      "role": "tool",
      "tool_call_id": "call_FaPW65VmQmkUTIi4XGDtxK0Y"
    },
    {
      "content": "{\"ok\": true, \"result\": {\"candidates\": [{\"candidate_id\": \"candidate_c435c99118e97cfd96e648627c6af12f\", \"case_id\": \"map_1da82d343bb576fc267444b7236c33a6\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"current_element_id\": \"element_7bb864569b99a20b3580c33ffae0b1f1\", \"current_name\": \"Calendar.Date\", \"current_properties\": {\"dataType\": \"DateTime\", \"formatString\": \"yyyy-mm-dd\", \"name\": \"Date\", \"summarizeBy\": \"None\", \"tableName\": \"Calendar\"}, \"current_properties_json\": \"{\\\"dataType\\\": \\\"DateTime\\\", \\\"formatString\\\": \\\"yyyy-mm-dd\\\", \\\"name\\\": \\\"Date\\\", \\\"summarizeBy\\\": \\\"None\\\", \\\"tableName\\\": \\\"Calendar\\\"}\", \"evidence\": {\"current_qualified_name\": \"Calendar.Date\", \"rank\": 1}, \"evidence_json\": \"{\\\"current_qualified_name\\\": \\\"Calendar.Date\\\", \\\"rank\\\": 1}\", \"nomination_method\": \"qualified_name\", \"proposed_relationship\": \"exact\", \"score\": 1.0, \"status\": \"selected\"}], \"decisions\": [{\"action\": \"confirm_mapping\", \"actor_id\": \"synthetic-consultant\", \"actor_type\": \"human\", \"case_id\": \"map_1da82d343bb576fc267444b7236c33a6\", \"decided_at\": \"2026-07-29T16:30:28.664Z\", \"decision_id\": \"decision_de3f3910c7933555217682827f5972ad\", \"expected_version\": 1, \"reason\": \"Synthetic consultant confirms deterministic mapping.\", \"receipt_artifact_id\": \"ev_sha256_cff32799405187ec66ad2c061c32a7745cf2169b1ebda4a09b07d851fff36f94\", \"selected_candidates\": [\"candidate_c435c99118e97cfd96e648627c6af12f\"], \"selected_candidates_json\": \"[\\\"candidate_c435c99118e97cfd96e648627c6af12f\\\"]\"}], \"layer\": \"silver\", \"mapping_case\": {\"case_id\": \"map_1da82d343bb576fc267444b7236c33a6\", \"coverage_state\": \"satisfied\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"priority\": 100, \"properties\": {\"current_snapshot_id\": \"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\", \"target_properties\": {\"business_definition\": \"Posting calendar date.\", \"current_hint\": \"Calendar.Date\", \"data_type\": \"DateTime\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 6, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"target_qualified_name\": \"Calendar.Date\", \"target_snapshot_id\": \"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\"}, \"relationship_type\": \"exact\", \"required_action\": \"reuse_as_is\", \"review_state\": \"consultant_confirmed\", \"scope_state\": \"not_considered\", \"state\": \"resolved\", \"target_element_id\": \"element_62a541174b354dc1fc746db4540b9663\", \"target_name\": \"Calendar.Date\", \"target_properties\": {\"business_definition\": \"Posting calendar date.\", \"current_hint\": \"Calendar.Date\", \"data_type\": \"DateTime\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 6, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"title\": \"Map Calendar.Date\", \"updated_at\": \"2026-07-29T16:30:28.664Z\", \"version\": 2}}}",
      "name": "get_mapping_case",
      "role": "tool",
      "tool_call_id": "call_nSH0J2qU2vXzwFXd9wOMN22W"
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    {
      "content": "{\"ok\": true, \"result\": {\"candidates\": [{\"candidate_id\": \"candidate_a2a31f625c583d1278647ede626e887e\", \"case_id\": \"map_1e52e17657289ca27858a71f32bf8b41\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"current_element_id\": \"element_81f62b002354fde1018e060c4f33e371\", \"current_name\": \"Calendar.DateKey\", \"current_properties\": {\"dataType\": \"Int64\", \"name\": \"DateKey\", \"summarizeBy\": \"None\", \"tableName\": \"Calendar\"}, \"current_properties_json\": \"{\\\"dataType\\\": \\\"Int64\\\", \\\"name\\\": \\\"DateKey\\\", \\\"summarizeBy\\\": \\\"None\\\", \\\"tableName\\\": \\\"Calendar\\\"}\", \"evidence\": {\"current_qualified_name\": \"Calendar.DateKey\", \"rank\": 1}, \"evidence_json\": \"{\\\"current_qualified_name\\\": \\\"Calendar.DateKey\\\", \\\"rank\\\": 1}\", \"nomination_method\": \"qualified_name\", \"proposed_relationship\": \"exact\", \"score\": 1.0, \"status\": \"selected\"}], \"decisions\": [{\"action\": \"confirm_mapping\", \"actor_id\": \"synthetic-consultant\", \"actor_type\": \"human\", \"case_id\": \"map_1e52e17657289ca27858a71f32bf8b41\", \"decided_at\": \"2026-07-29T16:30:28.719Z\", \"decision_id\": \"decision_02de1104b73f28572365e9bd62d34b6b\", \"expected_version\": 1, \"reason\": \"Synthetic consultant confirms deterministic mapping.\", \"receipt_artifact_id\": \"ev_sha256_ec5fbd287517602b0dc45d4064e71280842cb70bfd899c486442f2b2361a7ec0\", \"selected_candidates\": [\"candidate_a2a31f625c583d1278647ede626e887e\"], \"selected_candidates_json\": \"[\\\"candidate_a2a31f625c583d1278647ede626e887e\\\"]\"}], \"layer\": \"silver\", \"mapping_case\": {\"case_id\": \"map_1e52e17657289ca27858a71f32bf8b41\", \"coverage_state\": \"satisfied\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"priority\": 100, \"properties\": {\"current_snapshot_id\": \"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\", \"target_properties\": {\"business_definition\": \"Integer date key in YYYYMMDD form.\", \"current_hint\": \"Calendar.DateKey\", \"data_type\": \"Int64\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 5, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"target_qualified_name\": \"Calendar.DateKey\", \"target_snapshot_id\": \"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\"}, \"relationship_type\": \"exact\", \"required_action\": \"reuse_as_is\", \"review_state\": \"consultant_confirmed\", \"scope_state\": \"not_considered\", \"state\": \"resolved\", \"target_element_id\": \"element_21bd9895b01813be2c2cc79639fee26a\", \"target_name\": \"Calendar.DateKey\", \"target_properties\": {\"business_definition\": \"Integer date key in YYYYMMDD form.\", \"current_hint\": \"Calendar.DateKey\", \"data_type\": \"Int64\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 5, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"title\": \"Map Calendar.DateKey\", \"updated_at\": \"2026-07-29T16:30:28.719Z\", \"version\": 2}}}",
      "name": "get_mapping_case",
      "role": "tool",
      "tool_call_id": "call_3jPJdWtuOXgfxEfcTSMcSZPa"
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    {
      "content": "{\"ok\": true, \"result\": {\"candidates\": [{\"candidate_id\": \"candidate_68724372452c4118a8069413bcccb908\", \"case_id\": \"map_14866b939d23a75708629f22790e668c\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"current_element_id\": \"element_6dc9b486cb9cf85def4d50c657167b99\", \"current_name\": \"Ledger.AccountKey\", \"current_properties\": {\"dataType\": \"Int64\", \"name\": \"AccountKey\", \"summarizeBy\": \"None\", \"tableName\": \"Ledger\"}, \"current_properties_json\": \"{\\\"dataType\\\": \\\"Int64\\\", \\\"name\\\": \\\"AccountKey\\\", \\\"summarizeBy\\\": \\\"None\\\", \\\"tableName\\\": \\\"Ledger\\\"}\", \"evidence\": {\"current_qualified_name\": \"Ledger.AccountKey\", \"rank\": 1}, \"evidence_json\": \"{\\\"current_qualified_name\\\": \\\"Ledger.AccountKey\\\", \\\"rank\\\": 1}\", \"nomination_method\": \"qualified_name\", \"proposed_relationship\": \"exact\", \"score\": 1.0, \"status\": \"selected\"}], \"decisions\": [{\"action\": \"confirm_mapping\", \"actor_id\": \"synthetic-consultant\", \"actor_type\": \"human\", \"case_id\": \"map_14866b939d23a75708629f22790e668c\", \"decided_at\": \"2026-07-29T16:30:28.613Z\", \"decision_id\": \"decision_4dfa0e0ab12317b5dd263d5abf720760\", \"expected_version\": 1, \"reason\": \"Synthetic consultant confirms deterministic mapping.\", \"receipt_artifact_id\": \"ev_sha256_1a9901e109d608aac686f20ce58c250b65e77447ba0f60bd2d8e7d13899fdd5f\", \"selected_candidates\": [\"candidate_68724372452c4118a8069413bcccb908\"], \"selected_candidates_json\": \"[\\\"candidate_68724372452c4118a8069413bcccb908\\\"]\"}], \"layer\": \"silver\", \"mapping_case\": {\"case_id\": \"map_14866b939d23a75708629f22790e668c\", \"coverage_state\": \"satisfied\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"priority\": 100, \"properties\": {\"current_snapshot_id\": \"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\", \"target_properties\": {\"business_definition\": \"Account foreign key.\", \"current_hint\": \"Ledger.AccountKey\", \"data_type\": \"Int64\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 9, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"target_qualified_name\": \"Ledger.AccountKey\", \"target_snapshot_id\": \"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\"}, \"relationship_type\": \"exact\", \"required_action\": \"reuse_as_is\", \"review_state\": \"consultant_confirmed\", \"scope_state\": \"not_considered\", \"state\": \"resolved\", \"target_element_id\": \"element_7857836f2e1e8966c42f891b79f5b27b\", \"target_name\": \"Ledger.AccountKey\", \"target_properties\": {\"business_definition\": \"Account foreign key.\", \"current_hint\": \"Ledger.AccountKey\", \"data_type\": \"Int64\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 9, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"title\": \"Map Ledger.AccountKey\", \"updated_at\": \"2026-07-29T16:30:28.613Z\", \"version\": 2}}}",
      "name": "get_mapping_case",
      "role": "tool",
      "tool_call_id": "call_xfjFY3ux1tXAs8HwI9t6FQal"
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    {
      "content": "{\"ok\": true, \"result\": {\"candidates\": [{\"candidate_id\": \"candidate_9f2a7723219ed8f9e0b0d27b2c74ea86\", \"case_id\": \"map_10da16a35e04427b51b8bb18d6d2a52d\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"current_element_id\": \"element_fb986ad10dcb10b1ea91c2947590fd5d\", \"current_name\": \"Ledger.DateKey\", \"current_properties\": {\"dataType\": \"Int64\", \"name\": \"DateKey\", \"summarizeBy\": \"None\", \"tableName\": \"Ledger\"}, \"current_properties_json\": \"{\\\"dataType\\\": \\\"Int64\\\", \\\"name\\\": \\\"DateKey\\\", \\\"summarizeBy\\\": \\\"None\\\", \\\"tableName\\\": \\\"Ledger\\\"}\", \"evidence\": {\"current_qualified_name\": \"Ledger.DateKey\", \"rank\": 1}, \"evidence_json\": \"{\\\"current_qualified_name\\\": \\\"Ledger.DateKey\\\", \\\"rank\\\": 1}\", \"nomination_method\": \"qualified_name\", \"proposed_relationship\": \"exact\", \"score\": 1.0, \"status\": \"selected\"}], \"decisions\": [{\"action\": \"confirm_mapping\", \"actor_id\": \"synthetic-consultant\", \"actor_type\": \"human\", \"case_id\": \"map_10da16a35e04427b51b8bb18d6d2a52d\", \"decided_at\": \"2026-07-29T16:30:28.566Z\", \"decision_id\": \"decision_4bacf76553c57365fbce198af7db3a5b\", \"expected_version\": 1, \"reason\": \"Synthetic consultant confirms deterministic mapping.\", \"receipt_artifact_id\": \"ev_sha256_c597fa51292bad547b3638a989999b448915e82791c47875f6e531f30e61fe02\", \"selected_candidates\": [\"candidate_9f2a7723219ed8f9e0b0d27b2c74ea86\"], \"selected_candidates_json\": \"[\\\"candidate_9f2a7723219ed8f9e0b0d27b2c74ea86\\\"]\"}], \"layer\": \"silver\", \"mapping_case\": {\"case_id\": \"map_10da16a35e04427b51b8bb18d6d2a52d\", \"coverage_state\": \"satisfied\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"priority\": 100, \"properties\": {\"current_snapshot_id\": \"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\", \"target_properties\": {\"business_definition\": \"Posting date foreign key.\", \"current_hint\": \"Ledger.DateKey\", \"data_type\": \"Int64\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 8, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"target_qualified_name\": \"Ledger.DateKey\", \"target_snapshot_id\": \"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\"}, \"relationship_type\": \"exact\", \"required_action\": \"reuse_as_is\", \"review_state\": \"consultant_confirmed\", \"scope_state\": \"not_considered\", \"state\": \"resolved\", \"target_element_id\": \"element_cf5d3484214ab7122feb26cee97ef7f3\", \"target_name\": \"Ledger.DateKey\", \"target_properties\": {\"business_definition\": \"Posting date foreign key.\", \"current_hint\": \"Ledger.DateKey\", \"data_type\": \"Int64\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 8, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"title\": \"Map Ledger.DateKey\", \"updated_at\": \"2026-07-29T16:30:28.566Z\", \"version\": 2}}}",
      "name": "get_mapping_case",
      "role": "tool",
      "tool_call_id": "call_DtcQXBODGAecUZDrgoXKuSpR"
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    {
      "content": "{\"ok\": true, \"result\": {\"candidates\": [{\"candidate_id\": \"candidate_40fd0484ad8737e7e4a3362637ffa020\", \"case_id\": \"map_1f70f20f514ef40083aea5c23c840355\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"current_element_id\": \"element_5d79dad078fcbe7f3f7ce34165853020\", \"current_name\": \"Ledger.IsAdjustment\", \"current_properties\": {\"dataType\": \"Boolean\", \"name\": \"IsAdjustment\", \"summarizeBy\": \"None\", \"tableName\": \"Ledger\"}, \"current_properties_json\": \"{\\\"dataType\\\": \\\"Boolean\\\", \\\"name\\\": \\\"IsAdjustment\\\", \\\"summarizeBy\\\": \\\"None\\\", \\\"tableName\\\": \\\"Ledger\\\"}\", \"evidence\": {\"current_qualified_name\": \"Ledger.IsAdjustment\", \"rank\": 1}, \"evidence_json\": \"{\\\"current_qualified_name\\\": \\\"Ledger.IsAdjustment\\\", \\\"rank\\\": 1}\", \"nomination_method\": \"qualified_name\", \"proposed_relationship\": \"exact\", \"score\": 1.0, \"status\": \"selected\"}], \"decisions\": [{\"action\": \"confirm_mapping\", \"actor_id\": \"synthetic-consultant\", \"actor_type\": \"human\", \"case_id\": \"map_1f70f20f514ef40083aea5c23c840355\", \"decided_at\": \"2026-07-29T16:30:28.764Z\", \"decision_id\": \"decision_dc809c4cc743779ee3a0690af0063753\", \"expected_version\": 1, \"reason\": \"Synthetic consultant confirms deterministic mapping.\", \"receipt_artifact_id\": \"ev_sha256_85ce231f68e4b7cce6419c9ceaa82b370be2a48f58e348747ce1b79a16562fc2\", \"selected_candidates\": [\"candidate_40fd0484ad8737e7e4a3362637ffa020\"], \"selected_candidates_json\": \"[\\\"candidate_40fd0484ad8737e7e4a3362637ffa020\\\"]\"}], \"layer\": \"silver\", \"mapping_case\": {\"case_id\": \"map_1f70f20f514ef40083aea5c23c840355\", \"coverage_state\": \"satisfied\", \"created_at\": \"2026-07-29T16:30:27.815Z\", \"priority\": 100, \"properties\": {\"current_snapshot_id\": \"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\", \"target_properties\": {\"business_definition\": \"Identifies late or manual adjustments.\", \"current_hint\": \"Ledger.IsAdjustment\", \"data_type\": \"Boolean\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 11, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"target_qualified_name\": \"Ledger.IsAdjustment\", \"target_snapshot_id\": \"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\"}, \"relationship_type\": \"exact\", \"required_action\": \"reuse_as_is\", \"review_state\": \"consultant_confirmed\", \"scope_state\": \"not_considered\", \"state\": \"resolved\", \"target_element_id\": \"element_d20f69cd2905422abb77c501287eb6bf\", \"target_name\": \"Ledger.IsAdjustment\", \"target_properties\": {\"business_definition\": \"Identifies late or manual adjustments.\", \"current_hint\": \"Ledger.IsAdjustment\", \"data_type\": \"Boolean\", \"formula\": null, \"object_type\": \"column\", \"required\": \"Yes\", \"source\": \"Existing Power BI semantic model\", \"source_row\": 11, \"source_sheet\": \"Target Fields\", \"workbook_id\": \"workbook_480433cbc86b45db9ec61c5c174d6061\"}, \"title\": \"Map Ledger.IsAdjustment\", \"updated_at\": \"2026-07-29T16:30:28.764Z\", \"version\": 2}}}",
      "name": "get_mapping_case",
      "role": "tool",
      "tool_call_id": "call_NsIsNNEI7XzmAgWFk0Xp411a"
    },
    {
      "content": "{\"error\": \"'roles'\", \"error_type\": \"KeyError\", \"ok\": false}",
      "name": "get_audit_object",
      "role": "tool",
      "tool_call_id": "call_KJcpev7BVmmQhneNXR0sjAKt"
    },
    {
      "content": "{\"error\": \"'dataSources'\", \"error_type\": \"KeyError\", \"ok\": false}",
      "name": "get_audit_object",
      "role": "tool",
      "tool_call_id": "call_ZZVMD4qFfSvjpVG6Hl2kHT9W"
    },
    {
      "content": "{\"error\": \"'expressions'\", \"error_type\": \"KeyError\", \"ok\": false}",
      "name": "get_audit_object",
      "role": "tool",
      "tool_call_id": "call_jgNfGLuVCqyMyWHDJ9AFp4R8"
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    {
      "content": null,
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      "tool_calls": [
        {
          "function": {
            "arguments": "{\"summary\":\"The bounded Desktop audit observes a small Import semantic model with six tables, four measures, three active one-direction relationships and no security roles in the audit summary. The target workbook declares 13 required columns across Account, Calendar and Ledger. Ten target columns have consultant-confirmed exact mappings to same-qualified-name current columns; three required enrichment fields\u2014Account.AccountGroup, Ledger.CostCentre and Ledger.CurrencyCode\u2014have consultant-confirmed gap decisions and are accepted for phase-two scope. The gap status is bounded: deterministic comparison found no candidates inside the connected Desktop model, but this does not establish absence from upstream or inaccessible sources. The target workbook also contains hidden Reference Data, but its Instructions sheet explicitly says sheets other than Target Fields must not automatically become target fields; whether that reference data is an approved implementation source remains unresolved. Current measures are deterministic fixture/smoke-test objects and are not declared in the target workbook. Target implementation is not evidenced.\",\"evidence_bundle\":[{\"topic\":\"Access boundary and audit status\",\"finding\":\"Observed current state is limited to the open Power BI Desktop model accessed through Modeling MCP. The snapshot is complete and dated 2026-07-29, but 'not observed' is not proof of absence outside this boundary.\",\"authority\":\"observed\",\"object_ids\":[\"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\",\"element_b960fc54b1452fb5c4caba56a33647e0\"],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"topic\":\"Current semantic model overview\",\"finding\":\"Model is Import mode and contains six tables: Account, Calendar, Ledger, Metrics, plus hidden DateTableTemplate_4a3e593b-a196-4a2f-9343-f7dc0519ce56 and hidden LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31. Audit summary reports 31 columns, 25 listed columns, four measures, six partitions, three relationships and zero security roles.\",\"authority\":\"observed\",\"object_ids\":[\"element_b960fc54b1452fb5c4caba56a33647e0\",\"element_af3952d5257997a4f7d7250e32c78463\",\"element_5cde89d3971f2ee922f31dc08f137bc4\",\"element_63fed604310676ed418424b7c09d1820\",\"element_4928eda4be28a07e4e3b20465fb6493d\",\"element_4c7cb0bec2243856a5876e75df4ec604\",\"element_bcdf61c529dce9dc3a254da7ff212d7c\"],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"topic\":\"Current business tables and fields\",\"finding\":\"Account has AccountKey Int64, AccountName String and AccountType String. Calendar has DateKey Int64, Date DateTime formatted yyyy-mm-dd and FiscalMonth Int64; FiscalMonth is configured to summarise by Sum. Ledger has DateKey Int64, AccountKey Int64, SignedAmount Decimal with currency format and IsAdjustment Boolean. Metrics has a Placeholder String column.\",\"authority\":\"observed\",\"object_ids\":[\"element_2a77681ae0a272e34df0938cdec55f7d\",\"element_7892785663ebde7ab14cdd1128fdcbb5\",\"element_a11672dab1dd75162b991a2764ac9178\",\"element_81f62b002354fde1018e060c4f33e371\",\"element_7bb864569b99a20b3580c33ffae0b1f1\",\"element_3b3f960764a22ecbd497ed8050f7a353\",\"element_fb986ad10dcb10b1ea91c2947590fd5d\",\"element_6dc9b486cb9cf85def4d50c657167b99\",\"element_327ac198983c6bde35fe78b6218cf6b5\",\"element_5d79dad078fcbe7f3f7ce34165853020\",\"element_586d76cb4847e13e203718422ce63390\"],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"topic\":\"Observed relationships\",\"finding\":\"Three active one-direction many-to-one relationships were observed: Ledger.DateKey to Calendar.DateKey; Ledger.AccountKey to Account.AccountKey; and Calendar.Date to LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31.Date. The last relationship is associated with an auto-generated hidden local date table.\",\"authority\":\"observed\",\"object_ids\":[\"element_fb986ad10dcb10b1ea91c2947590fd5d\",\"element_81f62b002354fde1018e060c4f33e371\",\"element_6dc9b486cb9cf85def4d50c657167b99\",\"element_2a77681ae0a272e34df0938cdec55f7d\",\"element_7bb864569b99a20b3580c33ffae0b1f1\",\"element_97958be890289c452f92b4bf1c0f34ed\"],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"topic\":\"Current measures\",\"finding\":\"Metrics contains Actual Net, Actual Revenue, Budget Net and Net Variance, all currency-formatted. Their descriptions identify them as deterministic fixture totals/constants or DAX smoke-test objects, so they should not be presented as production KPI definitions without further evidence. DAX expressions were not returned by the evidence reads performed.\",\"authority\":\"observed\",\"object_ids\":[\"element_061f79dcd4b298918056cc2a47b85a9c\",\"element_0a3b081c8ff75ea89aea7329024d2d36\",\"element_054271b1fd4c6dcfb5961ed4d010907f\",\"element_91961d37bde0957328d8460401cce7ff\"],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"topic\":\"Declared target scope\",\"finding\":\"TargetArchitecture_Partial.xlsx declares 13 required target columns on Target Fields rows 2\u201314, across Account, Calendar and Ledger. Its Instructions sheet says Target Fields is the declaration of target architecture and other sheets may contain rules, validation, reference data or sample inputs that must not automatically become target fields.\",\"authority\":\"declared\",\"object_ids\":[\"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\",\"workbook_480433cbc86b45db9ec61c5c174d6061\",\"element_6a4aafeb1a36ab6309edc87c103d4645\",\"element_4906f0fe98493953db74a017f4ab7223\",\"element_7418034b180b52ef209e500cadea212b\"],\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"topic\":\"Consultant-confirmed exact mappings\",\"finding\":\"Ten required target fields have consultant-confirmed exact same-qualified-name mappings and action reuse_as_is: Account.AccountKey, Account.AccountName, Account.AccountType; Calendar.DateKey, Calendar.Date, Calendar.FiscalMonth; Ledger.DateKey, Ledger.AccountKey, Ledger.SignedAmount and Ledger.IsAdjustment. Matching names and data types were observed. This is a mapping decision, not evidence that a separate target solution has been implemented.\",\"authority\":\"decided\",\"object_ids\":[\"map_722b778184cbdf43fc9ac59971a2dd7d\",\"map_47383e49dcf96f5e28345fe2ecc247ad\",\"map_bd71aba83eefd2697ddad85ccfaf242e\",\"map_1e52e17657289ca27858a71f32bf8b41\",\"map_1da82d343bb576fc267444b7236c33a6\",\"map_351818bdc56e9d1534733f61543defe5\",\"map_10da16a35e04427b51b8bb18d6d2a52d\",\"map_14866b939d23a75708629f22790e668c\",\"map_442f76af7f7ec352b45b56d8fd45a3af\",\"map_1f70f20f514ef40083aea5c23c840355\",\"decision_efe9180a28a43c660e276d405f9e9b10\",\"decision_c9b14808b8295b1fa9c627f9224c272e\",\"decision_38398f3b5cdea7bf7ea71a41b56b441d\",\"decision_02de1104b73f28572365e9bd62d34b6b\",\"decision_de3f3910c7933555217682827f5972ad\",\"decision_b4d50a20b2234dee566bb4b7af793469\",\"decision_4bacf76553c57365fbce198af7db3a5b\",\"decision_4dfa0e0ab12317b5dd263d5abf720760\",\"decision_ac09c84e935efe2625367b64f3e2ac97\",\"decision_dc809c4cc743779ee3a0690af0063753\"],\"evidence_artifact_ids\":[\"ev_sha256_a5a5cbf21fd0c1e498c04bf7eafbb2c7fa07762ddc368d53d81b7ca82d46db58\",\"ev_sha256_4df30b07fa155491c163d2d2eab2fbb5ac8cda97c270924f9bf205c3370f2e63\",\"ev_sha256_8c8d24e22fc0d23cd4e475c7ba4ddffda702eaa3f5a08527782f5e4d18f7a633\",\"ev_sha256_ec5fbd287517602b0dc45d4064e71280842cb70bfd899c486442f2b2361a7ec0\",\"ev_sha256_cff32799405187ec66ad2c061c32a7745cf2169b1ebda4a09b07d851fff36f94\",\"ev_sha256_22f0ffe13bf533904cdb6581696aec34fb3750db1f7d052d0712e2c5f0eb5afb\",\"ev_sha256_c597fa51292bad547b3638a989999b448915e82791c47875f6e531f30e61fe02\",\"ev_sha256_1a9901e109d608aac686f20ce58c250b65e77447ba0f60bd2d8e7d13899fdd5f\",\"ev_sha256_f65136ec09176fc91e1f4e63890efd956288c5b1b7665877becd98af942a48e5\",\"ev_sha256_85ce231f68e4b7cce6419c9ceaa82b370be2a48f58e348747ce1b79a16562fc2\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"topic\":\"Account.AccountGroup gap\",\"finding\":\"The target declares Account.AccountGroup as a required String management reporting group above account type, sourced from Account master / embedded mapping. Deterministic comparison observed no current candidate in the bounded model. A consultant confirmed the gap and accepted it for phase-two scope with action acquire_or_source.\",\"authority\":\"decided\",\"object_ids\":[\"element_788b987a34b757f9d14df72df4b9b654\",\"map_585c99c93e6a75765671704027b2d671\",\"decision_bf078ea6d947223739007e14368dead5\",\"evidence_packet_643827acf3db6264a8573fca7c480de4\"],\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\"]},{\"topic\":\"Ledger.CostCentre gap\",\"finding\":\"The target declares Ledger.CostCentre as a required String management cost-centre code, sourced from Finance posting source / embedded reference data. Deterministic comparison observed no current candidate in the bounded model. A consultant confirmed the gap and accepted it for phase-two scope with action acquire_or_source.\",\"authority\":\"decided\",\"object_ids\":[\"element_7286a331467ba018897197836fc20d32\",\"map_2e388d52d81ff95f3bbb90fa6772a300\",\"decision_cbbc1ca63164300470752b1d108c35c0\",\"evidence_packet_5891d6dc3d169c97c241540edf312907\"],\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\"]},{\"topic\":\"Ledger.CurrencyCode gap\",\"finding\":\"The target declares Ledger.CurrencyCode as a required String ISO reporting currency code, sourced from Finance posting source. Deterministic comparison observed no current candidate in the bounded model. A consultant confirmed the gap and accepted it for phase-two scope with action acquire_or_source.\",\"authority\":\"decided\",\"object_ids\":[\"element_1dc15aad5e832b54f9055f01af12f2fa\",\"map_bea3e0f3dc83febe286bb6ba67319555\",\"decision_d87d082ec2bd2db6064500968ce65580\",\"evidence_packet_69f8c1b8261fe42406abe61c7953c07b\"],\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"topic\":\"Reference data is not yet an approved source\",\"finding\":\"The workbook has a hidden Reference Data sheet with sample CostCentre, AccountGroup and CurrencyCode values (CC100/Operations/AUD, CC200/Commercial/AUD, CC300/Corporate/NZD). Because the Instructions sheet says non-Target Fields sheets must not automatically become target fields, it is an interpretation that these values may illustrate a possible enrichment source; approval, completeness, keys and production ownership are unknown.\",\"authority\":\"interpreted\",\"object_ids\":[\"workbook_480433cbc86b45db9ec61c5c174d6061\",\"sheet_8459e717a824add7c29a2356\",\"sheet_a1028fa850c8af727b03c55c\"],\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"topic\":\"Target implementation status\",\"finding\":\"No evidence establishes that the spreadsheet-declared target has been implemented. The evidence supports current-to-target mapping and gap scope only.\",\"authority\":\"unknown\",\"object_ids\":[\"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\",\"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\"],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"topic\":\"Potential modelling quality issue\",\"finding\":\"Calendar.FiscalMonth is an Int64 attribute configured to summarise by Sum. For a month-number attribute, this is likely undesirable and should be reviewed, but no decision or target requirement about summarisation behaviour is recorded.\",\"authority\":\"interpreted\",\"object_ids\":[\"element_3b3f960764a22ecbd497ed8050f7a353\",\"map_351818bdc56e9d1534733f61543defe5\"],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]}],\"visited_object_ids\":[\"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\",\"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\",\"element_b960fc54b1452fb5c4caba56a33647e0\",\"element_af3952d5257997a4f7d7250e32c78463\",\"element_5cde89d3971f2ee922f31dc08f137bc4\",\"element_63fed604310676ed418424b7c09d1820\",\"element_4928eda4be28a07e4e3b20465fb6493d\",\"element_061f79dcd4b298918056cc2a47b85a9c\",\"element_0a3b081c8ff75ea89aea7329024d2d36\",\"element_054271b1fd4c6dcfb5961ed4d010907f\",\"element_91961d37bde0957328d8460401cce7ff\",\"map_585c99c93e6a75765671704027b2d671\",\"map_722b778184cbdf43fc9ac59971a2dd7d\",\"map_47383e49dcf96f5e28345fe2ecc247ad\",\"map_bd71aba83eefd2697ddad85ccfaf242e\",\"map_1da82d343bb576fc267444b7236c33a6\",\"map_1e52e17657289ca27858a71f32bf8b41\",\"map_351818bdc56e9d1534733f61543defe5\",\"map_14866b939d23a75708629f22790e668c\",\"map_2e388d52d81ff95f3bbb90fa6772a300\",\"map_bea3e0f3dc83febe286bb6ba67319555\",\"map_10da16a35e04427b51b8bb18d6d2a52d\",\"map_1f70f20f514ef40083aea5c23c840355\",\"map_442f76af7f7ec352b45b56d8fd45a3af\",\"workbook_480433cbc86b45db9ec61c5c174d6061\",\"evidence_packet_643827acf3db6264a8573fca7c480de4\",\"evidence_packet_5891d6dc3d169c97c241540edf312907\",\"evidence_packet_69f8c1b8261fe42406abe61c7953c07b\"],\"open_questions\":[\"Are the hidden Reference Data values approved, complete production mappings or only fixture/sample data? If approved, what business key joins each AccountGroup to Account and each CostCentre/CurrencyCode to Ledger?\",\"Which authoritative upstream systems or governed reference datasets will supply Ledger.CostCentre, Ledger.CurrencyCode and Account.AccountGroup, and who owns their data quality?\",\"Does Ledger.SignedAmount already represent a single reporting currency as declared, or is currency conversion required once Ledger.CurrencyCode is introduced?\",\"Should Calendar.FiscalMonth have summarise-by set to None, and are fiscal year, quarter, sorting and date-table designation requirements missing from the partial target workbook?\",\"Should the auto-generated DateTableTemplate and LocalDateTable be retained, or should automatic date/time be disabled in favour of the explicit Calendar table?\",\"What are the exact DAX expressions and intended production status of Metrics.Actual Net, Actual Revenue, Budget Net and Net Variance? Their descriptions identify fixture/smoke-test use.\",\"No security roles were reported by the audit summary. Are row-level or object-level security requirements expected in the production target but outside the partial workbook?\",\"What source connection details, M expressions, refresh behaviour, gateways and deployment environments exist? These were not established by the bounded reads.\",\"Does the target intentionally exclude measures, relationships, partitions, refresh policy, security and presentation metadata, or is TargetArchitecture_Partial.xlsx only a field-level subset requiring additional target artefacts?\",\"What acceptance tests prove the ten reuse_as_is mappings are semantically correct beyond name and data-type alignment, including key uniqueness, referential integrity, nullability, value domains and currency semantics?\"]}",
            "name": "request_review"
          },
          "id": "call_HHic6VWEleLIAGcSEMnKDcTm",
          "index": 0,
          "type": "function"
        }
      ]
    },
    {
      "content": "{\"ok\": true, \"terminal\": \"request_review\"}",
      "name": "request_review",
      "role": "tool",
      "tool_call_id": "call_HHic6VWEleLIAGcSEMnKDcTm"
    },
    {
      "content": "# Senior synthesis and single-write review\n\nYou are the senior Power BI discovery consultant. Review the complete junior\ntool transcript, revisit evidence with the same read tools where necessary,\nand then author the gold wiki.\n\nThe result must be a coherent multi-page knowledge base, not a record dump.\nInclude:\n\n- one `hub` page that explains the engagement state and links the knowledge;\n- the observed current semantic model, including concrete table, column,\n  measure, and relationship names;\n- the declared target represented by the selected workbook;\n- comparison and mapping findings, with material matches, partial mappings,\n  gaps, decisions, and questions;\n- evidence/access limitations and the meaning of \"not observed\";\n- scope implications where the evidence supports them.\n\nUse typed edges to make related pages discoverable in both directions. Cite\nonly evidence artifact IDs visible in the tool context. A page claim should say\nwhether it is observed, declared, interpreted, decided, or unknown.\n\nSubmit exactly one complete `save_review` call. It is a declarative replacement\nfor this build: pages, edges, and review flags are validated and applied\natomically. Do not attempt incremental writes.\n\n\nThe junior's structured handoff was:\n{\n  \"evidence_bundle\": [\n    {\n      \"authority\": \"observed\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"\n      ],\n      \"finding\": \"Observed current state is limited to the open Power BI Desktop model accessed through Modeling MCP. The snapshot is complete and dated 2026-07-29, but 'not observed' is not proof of absence outside this boundary.\",\n      \"object_ids\": [\n        \"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\",\n        \"element_b960fc54b1452fb5c4caba56a33647e0\"\n      ],\n      \"topic\": \"Access boundary and audit status\"\n    },\n    {\n      \"authority\": \"observed\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"\n      ],\n      \"finding\": \"Model is Import mode and contains six tables: Account, Calendar, Ledger, Metrics, plus hidden DateTableTemplate_4a3e593b-a196-4a2f-9343-f7dc0519ce56 and hidden LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31. Audit summary reports 31 columns, 25 listed columns, four measures, six partitions, three relationships and zero security roles.\",\n      \"object_ids\": [\n        \"element_b960fc54b1452fb5c4caba56a33647e0\",\n        \"element_af3952d5257997a4f7d7250e32c78463\",\n        \"element_5cde89d3971f2ee922f31dc08f137bc4\",\n        \"element_63fed604310676ed418424b7c09d1820\",\n        \"element_4928eda4be28a07e4e3b20465fb6493d\",\n        \"element_4c7cb0bec2243856a5876e75df4ec604\",\n        \"element_bcdf61c529dce9dc3a254da7ff212d7c\"\n      ],\n      \"topic\": \"Current semantic model overview\"\n    },\n    {\n      \"authority\": \"observed\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"\n      ],\n      \"finding\": \"Account has AccountKey Int64, AccountName String and AccountType String. Calendar has DateKey Int64, Date DateTime formatted yyyy-mm-dd and FiscalMonth Int64; FiscalMonth is configured to summarise by Sum. Ledger has DateKey Int64, AccountKey Int64, SignedAmount Decimal with currency format and IsAdjustment Boolean. Metrics has a Placeholder String column.\",\n      \"object_ids\": [\n        \"element_2a77681ae0a272e34df0938cdec55f7d\",\n        \"element_7892785663ebde7ab14cdd1128fdcbb5\",\n        \"element_a11672dab1dd75162b991a2764ac9178\",\n        \"element_81f62b002354fde1018e060c4f33e371\",\n        \"element_7bb864569b99a20b3580c33ffae0b1f1\",\n        \"element_3b3f960764a22ecbd497ed8050f7a353\",\n        \"element_fb986ad10dcb10b1ea91c2947590fd5d\",\n        \"element_6dc9b486cb9cf85def4d50c657167b99\",\n        \"element_327ac198983c6bde35fe78b6218cf6b5\",\n        \"element_5d79dad078fcbe7f3f7ce34165853020\",\n        \"element_586d76cb4847e13e203718422ce63390\"\n      ],\n      \"topic\": \"Current business tables and fields\"\n    },\n    {\n      \"authority\": \"observed\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"\n      ],\n      \"finding\": \"Three active one-direction many-to-one relationships were observed: Ledger.DateKey to Calendar.DateKey; Ledger.AccountKey to Account.AccountKey; and Calendar.Date to LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31.Date. The last relationship is associated with an auto-generated hidden local date table.\",\n      \"object_ids\": [\n        \"element_fb986ad10dcb10b1ea91c2947590fd5d\",\n        \"element_81f62b002354fde1018e060c4f33e371\",\n        \"element_6dc9b486cb9cf85def4d50c657167b99\",\n        \"element_2a77681ae0a272e34df0938cdec55f7d\",\n        \"element_7bb864569b99a20b3580c33ffae0b1f1\",\n        \"element_97958be890289c452f92b4bf1c0f34ed\"\n      ],\n      \"topic\": \"Observed relationships\"\n    },\n    {\n      \"authority\": \"observed\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"\n      ],\n      \"finding\": \"Metrics contains Actual Net, Actual Revenue, Budget Net and Net Variance, all currency-formatted. Their descriptions identify them as deterministic fixture totals/constants or DAX smoke-test objects, so they should not be presented as production KPI definitions without further evidence. DAX expressions were not returned by the evidence reads performed.\",\n      \"object_ids\": [\n        \"element_061f79dcd4b298918056cc2a47b85a9c\",\n        \"element_0a3b081c8ff75ea89aea7329024d2d36\",\n        \"element_054271b1fd4c6dcfb5961ed4d010907f\",\n        \"element_91961d37bde0957328d8460401cce7ff\"\n      ],\n      \"topic\": \"Current measures\"\n    },\n    {\n      \"authority\": \"declared\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"\n      ],\n      \"finding\": \"TargetArchitecture_Partial.xlsx declares 13 required target columns on Target Fields rows 2\\u201314, across Account, Calendar and Ledger. Its Instructions sheet says Target Fields is the declaration of target architecture and other sheets may contain rules, validation, reference data or sample inputs that must not automatically become target fields.\",\n      \"object_ids\": [\n        \"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\",\n        \"workbook_480433cbc86b45db9ec61c5c174d6061\",\n        \"element_6a4aafeb1a36ab6309edc87c103d4645\",\n        \"element_4906f0fe98493953db74a017f4ab7223\",\n        \"element_7418034b180b52ef209e500cadea212b\"\n      ],\n      \"topic\": \"Declared target scope\"\n    },\n    {\n      \"authority\": \"decided\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_a5a5cbf21fd0c1e498c04bf7eafbb2c7fa07762ddc368d53d81b7ca82d46db58\",\n        \"ev_sha256_4df30b07fa155491c163d2d2eab2fbb5ac8cda97c270924f9bf205c3370f2e63\",\n        \"ev_sha256_8c8d24e22fc0d23cd4e475c7ba4ddffda702eaa3f5a08527782f5e4d18f7a633\",\n        \"ev_sha256_ec5fbd287517602b0dc45d4064e71280842cb70bfd899c486442f2b2361a7ec0\",\n        \"ev_sha256_cff32799405187ec66ad2c061c32a7745cf2169b1ebda4a09b07d851fff36f94\",\n        \"ev_sha256_22f0ffe13bf533904cdb6581696aec34fb3750db1f7d052d0712e2c5f0eb5afb\",\n        \"ev_sha256_c597fa51292bad547b3638a989999b448915e82791c47875f6e531f30e61fe02\",\n        \"ev_sha256_1a9901e109d608aac686f20ce58c250b65e77447ba0f60bd2d8e7d13899fdd5f\",\n        \"ev_sha256_f65136ec09176fc91e1f4e63890efd956288c5b1b7665877becd98af942a48e5\",\n        \"ev_sha256_85ce231f68e4b7cce6419c9ceaa82b370be2a48f58e348747ce1b79a16562fc2\",\n        \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\n        \"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"\n      ],\n      \"finding\": \"Ten required target fields have consultant-confirmed exact same-qualified-name mappings and action reuse_as_is: Account.AccountKey, Account.AccountName, Account.AccountType; Calendar.DateKey, Calendar.Date, Calendar.FiscalMonth; Ledger.DateKey, Ledger.AccountKey, Ledger.SignedAmount and Ledger.IsAdjustment. Matching names and data types were observed. This is a mapping decision, not evidence that a separate target solution has been implemented.\",\n      \"object_ids\": [\n        \"map_722b778184cbdf43fc9ac59971a2dd7d\",\n        \"map_47383e49dcf96f5e28345fe2ecc247ad\",\n        \"map_bd71aba83eefd2697ddad85ccfaf242e\",\n        \"map_1e52e17657289ca27858a71f32bf8b41\",\n        \"map_1da82d343bb576fc267444b7236c33a6\",\n        \"map_351818bdc56e9d1534733f61543defe5\",\n        \"map_10da16a35e04427b51b8bb18d6d2a52d\",\n        \"map_14866b939d23a75708629f22790e668c\",\n        \"map_442f76af7f7ec352b45b56d8fd45a3af\",\n        \"map_1f70f20f514ef40083aea5c23c840355\",\n        \"decision_efe9180a28a43c660e276d405f9e9b10\",\n        \"decision_c9b14808b8295b1fa9c627f9224c272e\",\n        \"decision_38398f3b5cdea7bf7ea71a41b56b441d\",\n        \"decision_02de1104b73f28572365e9bd62d34b6b\",\n        \"decision_de3f3910c7933555217682827f5972ad\",\n        \"decision_b4d50a20b2234dee566bb4b7af793469\",\n        \"decision_4bacf76553c57365fbce198af7db3a5b\",\n        \"decision_4dfa0e0ab12317b5dd263d5abf720760\",\n        \"decision_ac09c84e935efe2625367b64f3e2ac97\",\n        \"decision_dc809c4cc743779ee3a0690af0063753\"\n      ],\n      \"topic\": \"Consultant-confirmed exact mappings\"\n    },\n    {\n      \"authority\": \"decided\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\n        \"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\"\n      ],\n      \"finding\": \"The target declares Account.AccountGroup as a required String management reporting group above account type, sourced from Account master / embedded mapping. Deterministic comparison observed no current candidate in the bounded model. A consultant confirmed the gap and accepted it for phase-two scope with action acquire_or_source.\",\n      \"object_ids\": [\n        \"element_788b987a34b757f9d14df72df4b9b654\",\n        \"map_585c99c93e6a75765671704027b2d671\",\n        \"decision_bf078ea6d947223739007e14368dead5\",\n        \"evidence_packet_643827acf3db6264a8573fca7c480de4\"\n      ],\n      \"topic\": \"Account.AccountGroup gap\"\n    },\n    {\n      \"authority\": \"decided\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\n        \"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\"\n      ],\n      \"finding\": \"The target declares Ledger.CostCentre as a required String management cost-centre code, sourced from Finance posting source / embedded reference data. Deterministic comparison observed no current candidate in the bounded model. A consultant confirmed the gap and accepted it for phase-two scope with action acquire_or_source.\",\n      \"object_ids\": [\n        \"element_7286a331467ba018897197836fc20d32\",\n        \"map_2e388d52d81ff95f3bbb90fa6772a300\",\n        \"decision_cbbc1ca63164300470752b1d108c35c0\",\n        \"evidence_packet_5891d6dc3d169c97c241540edf312907\"\n      ],\n      \"topic\": \"Ledger.CostCentre gap\"\n    },\n    {\n      \"authority\": \"decided\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\n        \"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"\n      ],\n      \"finding\": \"The target declares Ledger.CurrencyCode as a required String ISO reporting currency code, sourced from Finance posting source. Deterministic comparison observed no current candidate in the bounded model. A consultant confirmed the gap and accepted it for phase-two scope with action acquire_or_source.\",\n      \"object_ids\": [\n        \"element_1dc15aad5e832b54f9055f01af12f2fa\",\n        \"map_bea3e0f3dc83febe286bb6ba67319555\",\n        \"decision_d87d082ec2bd2db6064500968ce65580\",\n        \"evidence_packet_69f8c1b8261fe42406abe61c7953c07b\"\n      ],\n      \"topic\": \"Ledger.CurrencyCode gap\"\n    },\n    {\n      \"authority\": \"interpreted\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"\n      ],\n      \"finding\": \"The workbook has a hidden Reference Data sheet with sample CostCentre, AccountGroup and CurrencyCode values (CC100/Operations/AUD, CC200/Commercial/AUD, CC300/Corporate/NZD). Because the Instructions sheet says non-Target Fields sheets must not automatically become target fields, it is an interpretation that these values may illustrate a possible enrichment source; approval, completeness, keys and production ownership are unknown.\",\n      \"object_ids\": [\n        \"workbook_480433cbc86b45db9ec61c5c174d6061\",\n        \"sheet_8459e717a824add7c29a2356\",\n        \"sheet_a1028fa850c8af727b03c55c\"\n      ],\n      \"topic\": \"Reference data is not yet an approved source\"\n    },\n    {\n      \"authority\": \"unknown\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\n        \"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"\n      ],\n      \"finding\": \"No evidence establishes that the spreadsheet-declared target has been implemented. The evidence supports current-to-target mapping and gap scope only.\",\n      \"object_ids\": [\n        \"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\",\n        \"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\"\n      ],\n      \"topic\": \"Target implementation status\"\n    },\n    {\n      \"authority\": \"interpreted\",\n      \"evidence_artifact_ids\": [\n        \"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"\n      ],\n      \"finding\": \"Calendar.FiscalMonth is an Int64 attribute configured to summarise by Sum. For a month-number attribute, this is likely undesirable and should be reviewed, but no decision or target requirement about summarisation behaviour is recorded.\",\n      \"object_ids\": [\n        \"element_3b3f960764a22ecbd497ed8050f7a353\",\n        \"map_351818bdc56e9d1534733f61543defe5\"\n      ],\n      \"topic\": \"Potential modelling quality issue\"\n    }\n  ],\n  \"open_questions\": [\n    \"Are the hidden Reference Data values approved, complete production mappings or only fixture/sample data? If approved, what business key joins each AccountGroup to Account and each CostCentre/CurrencyCode to Ledger?\",\n    \"Which authoritative upstream systems or governed reference datasets will supply Ledger.CostCentre, Ledger.CurrencyCode and Account.AccountGroup, and who owns their data quality?\",\n    \"Does Ledger.SignedAmount already represent a single reporting currency as declared, or is currency conversion required once Ledger.CurrencyCode is introduced?\",\n    \"Should Calendar.FiscalMonth have summarise-by set to None, and are fiscal year, quarter, sorting and date-table designation requirements missing from the partial target workbook?\",\n    \"Should the auto-generated DateTableTemplate and LocalDateTable be retained, or should automatic date/time be disabled in favour of the explicit Calendar table?\",\n    \"What are the exact DAX expressions and intended production status of Metrics.Actual Net, Actual Revenue, Budget Net and Net Variance? Their descriptions identify fixture/smoke-test use.\",\n    \"No security roles were reported by the audit summary. Are row-level or object-level security requirements expected in the production target but outside the partial workbook?\",\n    \"What source connection details, M expressions, refresh behaviour, gateways and deployment environments exist? These were not established by the bounded reads.\",\n    \"Does the target intentionally exclude measures, relationships, partitions, refresh policy, security and presentation metadata, or is TargetArchitecture_Partial.xlsx only a field-level subset requiring additional target artefacts?\",\n    \"What acceptance tests prove the ten reuse_as_is mappings are semantically correct beyond name and data-type alignment, including key uniqueness, referential integrity, nullability, value domains and currency semantics?\"\n  ],\n  \"summary\": \"The bounded Desktop audit observes a small Import semantic model with six tables, four measures, three active one-direction relationships and no security roles in the audit summary. The target workbook declares 13 required columns across Account, Calendar and Ledger. Ten target columns have consultant-confirmed exact mappings to same-qualified-name current columns; three required enrichment fields\\u2014Account.AccountGroup, Ledger.CostCentre and Ledger.CurrencyCode\\u2014have consultant-confirmed gap decisions and are accepted for phase-two scope. The gap status is bounded: deterministic comparison found no candidates inside the connected Desktop model, but this does not establish absence from upstream or inaccessible sources. The target workbook also contains hidden Reference Data, but its Instructions sheet explicitly says sheets other than Target Fields must not automatically become target fields; whether that reference data is an approved implementation source remains unresolved. Current measures are deterministic fixture/smoke-test objects and are not declared in the target workbook. Target implementation is not evidenced.\",\n  \"visited_object_ids\": [\n    \"snapshot_current_e5ecaac9135e1535c70cfe5eb371f6f4\",\n    \"snapshot_target_d6a0a4cec803326d047cca0e7df7333c\",\n    \"element_b960fc54b1452fb5c4caba56a33647e0\",\n    \"element_af3952d5257997a4f7d7250e32c78463\",\n    \"element_5cde89d3971f2ee922f31dc08f137bc4\",\n    \"element_63fed604310676ed418424b7c09d1820\",\n    \"element_4928eda4be28a07e4e3b20465fb6493d\",\n    \"element_061f79dcd4b298918056cc2a47b85a9c\",\n    \"element_0a3b081c8ff75ea89aea7329024d2d36\",\n    \"element_054271b1fd4c6dcfb5961ed4d010907f\",\n    \"element_91961d37bde0957328d8460401cce7ff\",\n    \"map_585c99c93e6a75765671704027b2d671\",\n    \"map_722b778184cbdf43fc9ac59971a2dd7d\",\n    \"map_47383e49dcf96f5e28345fe2ecc247ad\",\n    \"map_bd71aba83eefd2697ddad85ccfaf242e\",\n    \"map_1da82d343bb576fc267444b7236c33a6\",\n    \"map_1e52e17657289ca27858a71f32bf8b41\",\n    \"map_351818bdc56e9d1534733f61543defe5\",\n    \"map_14866b939d23a75708629f22790e668c\",\n    \"map_2e388d52d81ff95f3bbb90fa6772a300\",\n    \"map_bea3e0f3dc83febe286bb6ba67319555\",\n    \"map_10da16a35e04427b51b8bb18d6d2a52d\",\n    \"map_1f70f20f514ef40083aea5c23c840355\",\n    \"map_442f76af7f7ec352b45b56d8fd45a3af\",\n    \"workbook_480433cbc86b45db9ec61c5c174d6061\",\n    \"evidence_packet_643827acf3db6264a8573fca7c480de4\",\n    \"evidence_packet_5891d6dc3d169c97c241540edf312907\",\n    \"evidence_packet_69f8c1b8261fe42406abe61c7953c07b\"\n  ]\n}",
      "role": "user"
    },
    {
      "role": "assistant",
      "tool_calls": [
        {
          "function": {
            "arguments": "{\"assessment\":\"The engagement has enough bounded evidence to publish a coherent discovery baseline. The connected Power BI Desktop model and the spreadsheet-declared target are well enough described for field-level comparison. Ten of 13 required target columns have consultant-confirmed exact reuse mappings. Three required enrichment fields have consultant-confirmed gap decisions and are accepted for phase-two scope. The build does not assert that the target has been implemented, that inaccessible sources lack the gap fields, or that the workbook is a complete production architecture specification.\",\"review_note\":\"Publish the current-state, declared-target, mapping and scope pages as the engagement baseline. Retain review queues for source ownership, enrichment design, model-quality checks, measure semantics, security, refresh and target completeness. Revalidate against a broader environment or a later model snapshot before treating bounded non-observation as enterprise-wide absence.\",\"pages\":[{\"page_id\":\"fde-finance.discovery\",\"page_type\":\"hub\",\"title\":\"FDE Finance Power BI discovery\",\"status\":\"current\",\"summary\":\"Field-level discovery is substantially mapped: 10 of 13 required target columns can reuse observed current columns, while Account.AccountGroup, Ledger.CostCentre and Ledger.CurrencyCode require an approved source or acquisition design.\",\"body_markdown\":\"# Status\\n\\nThe selected evidence supports a bounded current-to-target discovery baseline. The observed Power BI Desktop model is an Import semantic model centred on `Ledger`, `Account` and `Calendar`. The selected workbook, `TargetArchitecture_Partial.xlsx`, declares 13 required target columns across those three entities.\\n\\nConsultant decisions confirm:\\n\\n- **10 exact mappings** with action `reuse_as_is`;\\n- **3 required gaps** with action `acquire_or_source`;\\n- the three gaps are accepted for **phase-two scope**.\\n\\nThis is not evidence that a target solution has been implemented.\\n\\n## Knowledge map\\n\\n- **Observed current model** \u2014 tables, columns, measures, partitions and relationships found in the connected Desktop model.\\n- **Declared target** \u2014 the 13 columns declared by the workbook's `Target Fields` sheet.\\n- **Mapping coverage** \u2014 exact mappings and comparison result.\\n- **Enrichment gaps** \u2014 `Account.AccountGroup`, `Ledger.CostCentre` and `Ledger.CurrencyCode`.\\n- **Recorded decisions** \u2014 reuse and phase-two scope decisions.\\n- **Access boundary** \u2014 what the evidence can and cannot establish.\\n- **Open questions** \u2014 client and consultant matters still requiring resolution.\\n- **Evidence method** \u2014 authority classes and evidence handling used in this wiki.\\n\\n## Overall position\\n\\nThe current model structurally covers the core account, date and ledger fields declared by the target. The unresolved work is concentrated in management reporting enrichment, currency semantics, source ownership and broader non-field architecture requirements such as security, refresh and deployment. The workbook is explicitly partial in effect: it declares fields, but does not establish implementation of measures, relationships, security, refresh policy or deployment architecture.\",\"claims\":[{\"statement\":\"The selected target declares 13 required columns, of which 10 have consultant-confirmed exact reuse mappings and three have consultant-confirmed acquire-or-source gap decisions.\",\"authority\":\"decided\",\"evidence_artifact_ids\":[\"ev_sha256_a5a5cbf21fd0c1e498c04bf7eafbb2c7fa07762ddc368d53d81b7ca82d46db58\",\"ev_sha256_4df30b07fa155491c163d2d2eab2fbb5ac8cda97c270924f9bf205c3370f2e63\",\"ev_sha256_8c8d24e22fc0d23cd4e475c7ba4ddffda702eaa3f5a08527782f5e4d18f7a633\",\"ev_sha256_ec5fbd287517602b0dc45d4064e71280842cb70bfd899c486442f2b2361a7ec0\",\"ev_sha256_cff32799405187ec66ad2c061c32a7745cf2169b1ebda4a09b07d851fff36f94\",\"ev_sha256_22f0ffe13bf533904cdb6581696aec34fb3750db1f7d052d0712e2c5f0eb5afb\",\"ev_sha256_c597fa51292bad547b3638a989999b448915e82791c47875f6e531f30e61fe02\",\"ev_sha256_1a9901e109d608aac686f20ce58c250b65e77447ba0f60bd2d8e7d13899fdd5f\",\"ev_sha256_f65136ec09176fc91e1f4e63890efd956288c5b1b7665877becd98af942a48e5\",\"ev_sha256_85ce231f68e4b7cce6419c9ceaa82b370be2a48f58e348747ce1b79a16562fc2\",\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"statement\":\"The observed current model is an Import semantic model centred on Ledger, Account and Calendar, with additional Metrics and hidden date tables.\",\"authority\":\"observed\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"statement\":\"No available evidence establishes that the spreadsheet-declared target has been implemented.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]}],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"page_id\":\"fde-finance.current-model\",\"page_type\":\"current_state\",\"title\":\"Observed current semantic model\",\"status\":\"current\",\"summary\":\"The bounded Desktop audit found a six-table Import model with four business-facing tables, two hidden date tables, four fixture-labelled measures and three active one-direction relationships.\",\"body_markdown\":\"# Conclusion\\n\\nThe connected Power BI Desktop model is a small Import semantic model. Its business-facing structure is a conventional ledger star: `Ledger` filters through `Account` and `Calendar`. A `Metrics` table holds four measures. Two hidden date tables are also present.\\n\\n## Model inventory\\n\\n| Table | Observed contents | Storage |\\n|---|---|---|\\n| `Account` | 3 columns | Import |\\n| `Calendar` | 3 columns | Import |\\n| `Ledger` | 4 columns | Import |\\n| `Metrics` | 1 placeholder column, 4 measures | Import |\\n| `DateTableTemplate_4a3e593b-a196-4a2f-9343-f7dc0519ce56` | 7 hidden date columns; hidden and private | Import, calculated partition |\\n| `LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31` | 7 hidden date columns; hidden | Import, calculated partition |\\n\\nThe audit summary reports six tables, 31 columns in total, 25 listed columns, four measures, six partitions, three relationships and zero security roles.\\n\\n## Business-facing columns\\n\\n| Table | Column | Data type | Relevant metadata |\\n|---|---|---|---|\\n| `Account` | `AccountKey` | Int64 | Summarise by None |\\n| `Account` | `AccountName` | String | Summarise by None |\\n| `Account` | `AccountType` | String | Summarise by None |\\n| `Calendar` | `DateKey` | Int64 | Summarise by None |\\n| `Calendar` | `Date` | DateTime | Format `yyyy-mm-dd`; summarise by None |\\n| `Calendar` | `FiscalMonth` | Int64 | Summarise by Sum |\\n| `Ledger` | `DateKey` | Int64 | Summarise by None |\\n| `Ledger` | `AccountKey` | Int64 | Summarise by None |\\n| `Ledger` | `SignedAmount` | Decimal | Format `$#,0.00;($#,0.00)`; summarise by Sum |\\n| `Ledger` | `IsAdjustment` | Boolean | Summarise by None |\\n| `Metrics` | `Placeholder` | String | Summarise by None |\\n\\n## Measures\\n\\n| Measure | Observed description | Format |\\n|---|---|---|\\n| `Metrics.Actual Net` | Deterministic fixture total; expected 110000.00 | Currency |\\n| `Metrics.Actual Revenue` | Deterministic fixture total; expected 310000.00 | Currency |\\n| `Metrics.Budget Net` | Deterministic fixture constant for metadata and DAX smoke testing | Currency |\\n| `Metrics.Net Variance` | Deterministic fixture variance; expected 2000.00 | Currency |\\n\\nThe descriptions identify these as fixture or smoke-test objects. Their production KPI status is therefore not established. Exact DAX expressions were not established by the bounded reads used for this build.\\n\\n## Relationships\\n\\nAll three observed relationships are active, one-direction and many-to-one:\\n\\n1. `Ledger.DateKey` \u2192 `Calendar.DateKey`.\\n2. `Ledger.AccountKey` \u2192 `Account.AccountKey`.\\n3. `Calendar.Date` \u2192 `LocalDateTable_88a1fec1-b827-4666-af6e-18472a67bc31.Date`.\\n\\nThe third relationship is associated with Power BI automatic date/time behaviour rather than the declared business target.\\n\\n## Review observations\\n\\n- `Calendar.FiscalMonth` is configured to summarise by Sum. For a month-number attribute, this is likely undesirable and should be reviewed.\\n- The explicit `Calendar` table coexists with hidden automatic date tables. The intended date-table strategy is not recorded.\\n- Zero security roles were reported inside this model snapshot; production security requirements remain unknown.\",\"claims\":[{\"statement\":\"The audited model contains six Import tables, four measures, six partitions and three relationships; the audit summary reports zero security roles.\",\"authority\":\"observed\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"statement\":\"Ledger relates many-to-one to Calendar through DateKey and to Account through AccountKey, with active one-direction filtering.\",\"authority\":\"observed\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"statement\":\"The four Metrics measures are described as deterministic fixture or smoke-test objects.\",\"authority\":\"observed\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"statement\":\"Calendar.FiscalMonth summarising by Sum is likely inappropriate for a month-number attribute and requires review.\",\"authority\":\"interpreted\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"statement\":\"The intended production status and exact DAX definitions of the Metrics measures are not established by the bounded evidence used here.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]}],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"page_id\":\"fde-finance.declared-target\",\"page_type\":\"target_state\",\"title\":\"Declared target fields\",\"status\":\"current\",\"summary\":\"TargetArchitecture_Partial.xlsx declares 13 required columns in Account, Calendar and Ledger; it is a field declaration, not evidence of an implemented or complete production architecture.\",\"body_markdown\":\"# Conclusion\\n\\n`TargetArchitecture_Partial.xlsx` declares the selected target at field level. The authoritative declaration within the workbook is the `Target Fields` sheet. It contains 13 rows, and every row is marked `Required = Yes`.\\n\\n## Declared fields\\n\\n| Entity | Target field | Type | Business definition | Declared source |\\n|---|---|---|---|---|\\n| `Account` | `AccountKey` | Int64 | Stable account identifier | Existing Power BI semantic model |\\n| `Account` | `AccountName` | String | Finance account display name | Existing Power BI semantic model |\\n| `Account` | `AccountType` | String | Revenue or expense classification | Existing Power BI semantic model |\\n| `Account` | `AccountGroup` | String | Management reporting group above account type | Account master / embedded mapping |\\n| `Calendar` | `DateKey` | Int64 | Integer date key in YYYYMMDD form | Existing Power BI semantic model |\\n| `Calendar` | `Date` | DateTime | Posting calendar date | Existing Power BI semantic model |\\n| `Calendar` | `FiscalMonth` | Int64 | Fiscal month number | Existing Power BI semantic model |\\n| `Ledger` | `DateKey` | Int64 | Posting date foreign key | Existing Power BI semantic model |\\n| `Ledger` | `AccountKey` | Int64 | Account foreign key | Existing Power BI semantic model |\\n| `Ledger` | `SignedAmount` | Decimal | Signed ledger amount in reporting currency | Existing Power BI semantic model |\\n| `Ledger` | `IsAdjustment` | Boolean | Identifies late or manual adjustments | Existing Power BI semantic model |\\n| `Ledger` | `CostCentre` | String | Management cost-centre code | Finance posting source / embedded reference data |\\n| `Ledger` | `CurrencyCode` | String | ISO reporting currency code | Finance posting source |\\n\\n## Workbook interpretation boundary\\n\\nThe workbook's `Instructions` sheet states that `Target Fields` declares the target architecture. Other sheets may contain mapping rules, validation formulas, reference data or sample inputs and must not automatically become target fields.\\n\\nThe hidden `Reference Data` sheet contains example values:\\n\\n| CostCentre | AccountGroup | CurrencyCode |\\n|---|---|---|\\n| CC100 | Operations | AUD |\\n| CC200 | Commercial | AUD |\\n| CC300 | Corporate | NZD |\\n\\nThese values may illustrate an enrichment approach, but the workbook does not establish that they are complete, approved, keyed correctly or governed as production reference data.\\n\\n## Completeness limitation\\n\\nThe workbook does not declare measures, semantic relationships, security roles, refresh policy, deployment topology, gateway configuration or detailed presentation metadata. It is unknown whether those areas are intentionally out of target scope or require further target artefacts.\",\"claims\":[{\"statement\":\"The Target Fields sheet declares 13 required columns across Account, Calendar and Ledger.\",\"authority\":\"declared\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"statement\":\"The workbook instructs readers not to treat sheets other than Target Fields automatically as target fields.\",\"authority\":\"declared\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"statement\":\"The hidden Reference Data sheet contains CC100/Operations/AUD, CC200/Commercial/AUD and CC300/Corporate/NZD examples.\",\"authority\":\"observed\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"statement\":\"Approval, completeness, production ownership and join keys for the hidden reference data are not established.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"statement\":\"The selected workbook does not establish an implemented target model.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]}],\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"page_id\":\"fde-finance.mapping-coverage\",\"page_type\":\"mapping\",\"title\":\"Current-to-target mapping coverage\",\"status\":\"current\",\"summary\":\"Ten target columns have confirmed exact mappings to current columns; no partial mapping is recorded; three required target columns have no selected current candidate and are confirmed gaps.\",\"body_markdown\":\"# Conclusion\\n\\nThe selected target is **10 of 13 fields structurally covered** by consultant-confirmed exact mappings. Each covered field maps to a current column with the same qualified name and matching declared/observed data type. The required action is `reuse_as_is`.\\n\\nNo partial or transformed mapping is recorded in the selected mapping cases. The remaining three fields are confirmed gap cases rather than partial mappings.\\n\\n## Exact mappings\\n\\n| Target | Current | Type | Decision |\\n|---|---|---|---|\\n| `Account.AccountKey` | `Account.AccountKey` | Int64 | Exact; reuse as is |\\n| `Account.AccountName` | `Account.AccountName` | String | Exact; reuse as is |\\n| `Account.AccountType` | `Account.AccountType` | String | Exact; reuse as is |\\n| `Calendar.DateKey` | `Calendar.DateKey` | Int64 | Exact; reuse as is |\\n| `Calendar.Date` | `Calendar.Date` | DateTime | Exact; reuse as is |\\n| `Calendar.FiscalMonth` | `Calendar.FiscalMonth` | Int64 | Exact; reuse as is |\\n| `Ledger.DateKey` | `Ledger.DateKey` | Int64 | Exact; reuse as is |\\n| `Ledger.AccountKey` | `Ledger.AccountKey` | Int64 | Exact; reuse as is |\\n| `Ledger.SignedAmount` | `Ledger.SignedAmount` | Decimal | Exact; reuse as is |\\n| `Ledger.IsAdjustment` | `Ledger.IsAdjustment` | Boolean | Exact; reuse as is |\\n\\n## Confirmed gap cases\\n\\n| Target | Comparison finding | Required action |\\n|---|---|---|\\n| `Account.AccountGroup` | No current candidate selected | Acquire or source |\\n| `Ledger.CostCentre` | No current candidate selected | Acquire or source |\\n| `Ledger.CurrencyCode` | No current candidate selected | Acquire or source |\\n\\n## What exact mapping does and does not prove\\n\\nThe decisions establish reuse at the field-mapping level. They do not by themselves prove:\\n\\n- key uniqueness or referential integrity;\\n- acceptable null rates and value domains;\\n- equivalent business semantics over production data;\\n- correct fiscal calendar behaviour;\\n- that `Ledger.SignedAmount` already has the intended reporting-currency semantics;\\n- implementation in a separate target model.\\n\\nThose matters require acceptance tests or broader evidence.\",\"claims\":[{\"statement\":\"Ten required target fields have consultant-confirmed exact same-qualified-name mappings with action reuse_as_is.\",\"authority\":\"decided\",\"evidence_artifact_ids\":[\"ev_sha256_a5a5cbf21fd0c1e498c04bf7eafbb2c7fa07762ddc368d53d81b7ca82d46db58\",\"ev_sha256_4df30b07fa155491c163d2d2eab2fbb5ac8cda97c270924f9bf205c3370f2e63\",\"ev_sha256_8c8d24e22fc0d23cd4e475c7ba4ddffda702eaa3f5a08527782f5e4d18f7a633\",\"ev_sha256_ec5fbd287517602b0dc45d4064e71280842cb70bfd899c486442f2b2361a7ec0\",\"ev_sha256_cff32799405187ec66ad2c061c32a7745cf2169b1ebda4a09b07d851fff36f94\",\"ev_sha256_22f0ffe13bf533904cdb6581696aec34fb3750db1f7d052d0712e2c5f0eb5afb\",\"ev_sha256_c597fa51292bad547b3638a989999b448915e82791c47875f6e531f30e61fe02\",\"ev_sha256_1a9901e109d608aac686f20ce58c250b65e77447ba0f60bd2d8e7d13899fdd5f\",\"ev_sha256_f65136ec09176fc91e1f4e63890efd956288c5b1b7665877becd98af942a48e5\",\"ev_sha256_85ce231f68e4b7cce6419c9ceaa82b370be2a48f58e348747ce1b79a16562fc2\"]},{\"statement\":\"Account.AccountGroup, Ledger.CostCentre and Ledger.CurrencyCode are consultant-confirmed gap cases with action acquire_or_source.\",\"authority\":\"decided\",\"evidence_artifact_ids\":[\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"statement\":\"The selected mapping result contains exact mappings and no-candidate gaps, with no recorded partial mapping class.\",\"authority\":\"interpreted\",\"evidence_artifact_ids\":[\"ev_sha256_a5a5cbf21fd0c1e498c04bf7eafbb2c7fa07762ddc368d53d81b7ca82d46db58\",\"ev_sha256_4df30b07fa155491c163d2d2eab2fbb5ac8cda97c270924f9bf205c3370f2e63\",\"ev_sha256_8c8d24e22fc0d23cd4e475c7ba4ddffda702eaa3f5a08527782f5e4d18f7a633\",\"ev_sha256_ec5fbd287517602b0dc45d4064e71280842cb70bfd899c486442f2b2361a7ec0\",\"ev_sha256_cff32799405187ec66ad2c061c32a7745cf2169b1ebda4a09b07d851fff36f94\",\"ev_sha256_22f0ffe13bf533904cdb6581696aec34fb3750db1f7d052d0712e2c5f0eb5afb\",\"ev_sha256_c597fa51292bad547b3638a989999b448915e82791c47875f6e531f30e61fe02\",\"ev_sha256_1a9901e109d608aac686f20ce58c250b65e77447ba0f60bd2d8e7d13899fdd5f\",\"ev_sha256_f65136ec09176fc91e1f4e63890efd956288c5b1b7665877becd98af942a48e5\",\"ev_sha256_85ce231f68e4b7cce6419c9ceaa82b370be2a48f58e348747ce1b79a16562fc2\",\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"statement\":\"Semantic equivalence and production data quality for the ten exact mappings have not been established beyond the available metadata and decisions.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]}],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a5a5cbf21fd0c1e498c04bf7eafbb2c7fa07762ddc368d53d81b7ca82d46db58\",\"ev_sha256_4df30b07fa155491c163d2d2eab2fbb5ac8cda97c270924f9bf205c3370f2e63\",\"ev_sha256_8c8d24e22fc0d23cd4e475c7ba4ddffda702eaa3f5a08527782f5e4d18f7a633\",\"ev_sha256_ec5fbd287517602b0dc45d4064e71280842cb70bfd899c486442f2b2361a7ec0\",\"ev_sha256_cff32799405187ec66ad2c061c32a7745cf2169b1ebda4a09b07d851fff36f94\",\"ev_sha256_22f0ffe13bf533904cdb6581696aec34fb3750db1f7d052d0712e2c5f0eb5afb\",\"ev_sha256_c597fa51292bad547b3638a989999b448915e82791c47875f6e531f30e61fe02\",\"ev_sha256_1a9901e109d608aac686f20ce58c250b65e77447ba0f60bd2d8e7d13899fdd5f\",\"ev_sha256_f65136ec09176fc91e1f4e63890efd956288c5b1b7665877becd98af942a48e5\",\"ev_sha256_85ce231f68e4b7cce6419c9ceaa82b370be2a48f58e348747ce1b79a16562fc2\",\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"page_id\":\"fde-finance.enrichment-gaps\",\"page_type\":\"mapping\",\"title\":\"Required enrichment gaps\",\"status\":\"current\",\"summary\":\"Three target enrichments are not represented by a selected candidate in the bounded current model and require authoritative sourcing: Account.AccountGroup, Ledger.CostCentre and Ledger.CurrencyCode.\",\"body_markdown\":\"# Conclusion\\n\\nThree required target columns need acquisition or sourcing. The consultant confirmed each gap and accepted it for phase-two scope. In this wiki, **gap** means no current candidate was identified inside the audited Desktop model; it does not mean the information is absent from all upstream systems.\\n\\n## `Account.AccountGroup`\\n\\n- **Target definition:** management reporting group above account type.\\n- **Type:** String.\\n- **Declared source:** account master / embedded mapping.\\n- **Current comparison:** no selected current candidate.\\n- **Decision:** confirm gap; `acquire_or_source`; accepted for phase-two scope.\\n\\nAn implementation design needs an authoritative account-level join key, effective-dating rules if classifications change, ownership and handling for unmapped accounts.\\n\\n## `Ledger.CostCentre`\\n\\n- **Target definition:** management cost-centre code.\\n- **Type:** String.\\n- **Declared source:** finance posting source / embedded reference data.\\n- **Current comparison:** no selected current candidate.\\n- **Decision:** confirm gap; `acquire_or_source`; accepted for phase-two scope.\\n\\nThe source grain must be resolved. A cost centre could be sourced directly per ledger posting or derived through governed reference data; the evidence does not decide between these options.\\n\\n## `Ledger.CurrencyCode`\\n\\n- **Target definition:** ISO reporting currency code.\\n- **Type:** String.\\n- **Declared source:** finance posting source.\\n- **Current comparison:** no selected current candidate.\\n- **Decision:** confirm gap; `acquire_or_source`; accepted for phase-two scope.\\n\\nThe currency design must be reconciled with `Ledger.SignedAmount`, which the target describes as an amount in reporting currency. It is unknown whether the current ledger is single-currency, already converted, or requires transaction/reporting currency separation.\\n\\n## Reference-data caution\\n\\nThe workbook's hidden `Reference Data` sheet includes illustrative values for all three concepts. The workbook instructions prevent treating that sheet automatically as the target declaration. It must not be promoted to a production source without confirmation of completeness, keys, governance and ownership.\",\"claims\":[{\"statement\":\"Account.AccountGroup is a required String target field declared as a management reporting group sourced from account master or embedded mapping.\",\"authority\":\"declared\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"statement\":\"Ledger.CostCentre is a required String target field declared as a management cost-centre code sourced from the finance posting source or embedded reference data.\",\"authority\":\"declared\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"statement\":\"Ledger.CurrencyCode is a required String target field declared as an ISO reporting currency code sourced from the finance posting source.\",\"authority\":\"declared\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"statement\":\"All three enrichment gaps were consultant-confirmed and accepted for phase-two scope with action acquire_or_source.\",\"authority\":\"decided\",\"evidence_artifact_ids\":[\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"statement\":\"The authoritative source, join design, governance and currency treatment for the three enrichments remain unresolved.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]}],\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"page_id\":\"fde-finance.recorded-decisions\",\"page_type\":\"decision\",\"title\":\"Recorded mapping and scope decisions\",\"status\":\"current\",\"summary\":\"Consultant decisions authorise reuse of ten exact current fields and place three confirmed enrichment gaps into phase-two scope; they do not constitute implementation approval.\",\"body_markdown\":\"# Decision status\\n\\nAll 13 selected mapping cases are resolved by recorded consultant decisions.\\n\\n## Reuse decisions\\n\\nThe following targets are confirmed as exact mappings with required action `reuse_as_is`:\\n\\n- `Account.AccountKey`\\n- `Account.AccountName`\\n- `Account.AccountType`\\n- `Calendar.DateKey`\\n- `Calendar.Date`\\n- `Calendar.FiscalMonth`\\n- `Ledger.DateKey`\\n- `Ledger.AccountKey`\\n- `Ledger.SignedAmount`\\n- `Ledger.IsAdjustment`\\n\\nThese decisions confirm deterministic field mappings. They do not waive semantic or data-quality acceptance testing.\\n\\n## Gap and scope decisions\\n\\nThe following targets are confirmed gaps with required action `acquire_or_source` and scope state `accepted_for_scope`:\\n\\n- `Account.AccountGroup`\\n- `Ledger.CostCentre`\\n- `Ledger.CurrencyCode`\\n\\nThe recorded reasons state that no current evidence was available and the gap was accepted for phase-two scope.\\n\\n## Decision boundary\\n\\nThe decisions do not establish:\\n\\n- which upstream source will be used;\\n- transformation, join or slowly changing dimension design;\\n- implementation completion;\\n- production acceptance;\\n- broader target requirements not represented by the field-level workbook.\",\"claims\":[{\"statement\":\"Recorded consultant decisions confirm exact reuse for ten target fields.\",\"authority\":\"decided\",\"evidence_artifact_ids\":[\"ev_sha256_a5a5cbf21fd0c1e498c04bf7eafbb2c7fa07762ddc368d53d81b7ca82d46db58\",\"ev_sha256_4df30b07fa155491c163d2d2eab2fbb5ac8cda97c270924f9bf205c3370f2e63\",\"ev_sha256_8c8d24e22fc0d23cd4e475c7ba4ddffda702eaa3f5a08527782f5e4d18f7a633\",\"ev_sha256_ec5fbd287517602b0dc45d4064e71280842cb70bfd899c486442f2b2361a7ec0\",\"ev_sha256_cff32799405187ec66ad2c061c32a7745cf2169b1ebda4a09b07d851fff36f94\",\"ev_sha256_22f0ffe13bf533904cdb6581696aec34fb3750db1f7d052d0712e2c5f0eb5afb\",\"ev_sha256_c597fa51292bad547b3638a989999b448915e82791c47875f6e531f30e61fe02\",\"ev_sha256_1a9901e109d608aac686f20ce58c250b65e77447ba0f60bd2d8e7d13899fdd5f\",\"ev_sha256_f65136ec09176fc91e1f4e63890efd956288c5b1b7665877becd98af942a48e5\",\"ev_sha256_85ce231f68e4b7cce6419c9ceaa82b370be2a48f58e348747ce1b79a16562fc2\"]},{\"statement\":\"Recorded consultant decisions confirm three acquire-or-source gaps and accept them for phase-two scope.\",\"authority\":\"decided\",\"evidence_artifact_ids\":[\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"statement\":\"The decisions do not establish source design, implementation completion or production acceptance.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]}],\"evidence_artifact_ids\":[\"ev_sha256_a5a5cbf21fd0c1e498c04bf7eafbb2c7fa07762ddc368d53d81b7ca82d46db58\",\"ev_sha256_4df30b07fa155491c163d2d2eab2fbb5ac8cda97c270924f9bf205c3370f2e63\",\"ev_sha256_8c8d24e22fc0d23cd4e475c7ba4ddffda702eaa3f5a08527782f5e4d18f7a633\",\"ev_sha256_ec5fbd287517602b0dc45d4064e71280842cb70bfd899c486442f2b2361a7ec0\",\"ev_sha256_cff32799405187ec66ad2c061c32a7745cf2169b1ebda4a09b07d851fff36f94\",\"ev_sha256_22f0ffe13bf533904cdb6581696aec34fb3750db1f7d052d0712e2c5f0eb5afb\",\"ev_sha256_c597fa51292bad547b3638a989999b448915e82791c47875f6e531f30e61fe02\",\"ev_sha256_1a9901e109d608aac686f20ce58c250b65e77447ba0f60bd2d8e7d13899fdd5f\",\"ev_sha256_f65136ec09176fc91e1f4e63890efd956288c5b1b7665877becd98af942a48e5\",\"ev_sha256_85ce231f68e4b7cce6419c9ceaa82b370be2a48f58e348747ce1b79a16562fc2\",\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"page_id\":\"fde-finance.access-boundary\",\"page_type\":\"scope\",\"title\":\"Evidence and access boundary\",\"status\":\"current\",\"summary\":\"Current-state findings are limited to the connected Power BI Desktop model, while target findings are limited to the selected workbook; non-observation must not be read as enterprise-wide absence.\",\"body_markdown\":\"# Boundary\\n\\nThe current snapshot was captured from an open Power BI Desktop model through Modeling MCP. It covers the connected Desktop model only. The target snapshot was declared by `TargetArchitecture_Partial.xlsx`.\\n\\n## Meaning of \u201cnot observed\u201d\\n\\nWhen this wiki says an object was not observed, it means it was not returned inside the selected audit and evidence boundary. It does **not** prove that the object or information does not exist in:\\n\\n- an upstream finance system;\\n- another semantic model or PBIX file;\\n- a dataflow, warehouse, lakehouse or spreadsheet;\\n- an inaccessible workspace or tenant artefact;\\n- a later version of the model.\\n\\nThe three mapping gaps are stronger than an automated no-match result because a consultant recorded `confirm_gap` decisions. Even so, those decisions concern the selected current evidence and phase-two scope; they do not prove enterprise-wide absence.\\n\\n## Areas not established\\n\\nThe available evidence does not establish:\\n\\n- source connection details and complete M expressions;\\n- refresh schedules, gateways or deployment environments;\\n- production row counts, null rates, uniqueness or referential integrity;\\n- report pages and visual usage;\\n- production security requirements outside the observed zero-role model;\\n- complete DAX expressions and intended production status for the four measures;\\n- whether the target workbook is the complete non-functional and semantic target.\\n\\n## Revalidation trigger\\n\\nRevalidate this wiki when a broader access boundary, a new current snapshot, an approved source design or a revised target artefact becomes available.\",\"claims\":[{\"statement\":\"The current snapshot covers only the connected Power BI Desktop model accessed through Modeling MCP.\",\"authority\":\"observed\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"statement\":\"The target snapshot is declared by TargetArchitecture_Partial.xlsx.\",\"authority\":\"declared\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"statement\":\"Non-observation within the selected audit is not proof of absence outside its access boundary.\",\"authority\":\"interpreted\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"statement\":\"Refresh, deployment, broader source, report-usage and complete production security requirements are not established by the selected evidence.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]}],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"page_id\":\"fde-finance.scope-implications\",\"page_type\":\"scope\",\"title\":\"Scope implications\",\"status\":\"current\",\"summary\":\"Phase-two work should focus on governed enrichment sourcing and semantic acceptance, while broader architecture requirements must be confirmed before delivery scope is treated as complete.\",\"body_markdown\":\"# Conclusion\\n\\nThe evidence supports a focused next phase, but not a field-addition-only implementation. The three enrichment gaps require source and semantic design, and the ten reuse mappings require validation against production expectations.\\n\\n## Supported phase-two work\\n\\n1. **Source `Account.AccountGroup`.** Confirm the account master or governed mapping, join key, hierarchy rules, effective dating and ownership.\\n2. **Source `Ledger.CostCentre`.** Decide whether it is supplied at posting grain or derived through governed reference data; define unmatched-value handling.\\n3. **Source `Ledger.CurrencyCode`.** Establish transaction and reporting currency semantics and reconcile them with `Ledger.SignedAmount`.\\n4. **Validate reuse mappings.** Test uniqueness, referential integrity, nullability, value domains and representative business results.\\n5. **Resolve calendar design.** Review `Calendar.FiscalMonth` summarisation, fiscal sorting and the coexistence of explicit and automatic date tables.\\n\\n## Scope not yet justified as complete\\n\\nBefore implementation scope is considered complete, confirm whether the target also requires:\\n\\n- production measures and KPI definitions;\\n- relationships and date-table designation;\\n- row-level or object-level security;\\n- refresh policy, incremental refresh and gateway configuration;\\n- deployment environments and release controls;\\n- report presentation requirements;\\n- data-quality monitoring and operational ownership.\\n\\n## Delivery caution\\n\\nThe hidden workbook reference data is useful discovery evidence, not an approved production source. The current measure descriptions indicate fixture/smoke-test use. Neither should be promoted into delivery design without explicit confirmation.\",\"claims\":[{\"statement\":\"The three confirmed gaps support phase-two work for acquisition or sourcing.\",\"authority\":\"decided\",\"evidence_artifact_ids\":[\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"statement\":\"Source design, semantic validation and ownership are necessary implications of the declared enrichments and current evidence gaps.\",\"authority\":\"interpreted\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"statement\":\"The selected evidence does not establish complete scope for security, refresh, deployment, measures or report presentation.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]}],\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"page_id\":\"fde-finance.open-questions\",\"page_type\":\"question\",\"title\":\"Open discovery questions\",\"status\":\"needs_review\",\"summary\":\"Client and consultant input is required on enrichment sources, currency semantics, calendar design, measure status, security, refresh, target completeness and acceptance testing.\",\"body_markdown\":\"# Priority questions\\n\\n## Enrichment and ownership\\n\\n1. Are the hidden `Reference Data` values approved production mappings or fixture/sample data?\\n2. Which authoritative system or governed dataset supplies `Account.AccountGroup`, `Ledger.CostCentre` and `Ledger.CurrencyCode`?\\n3. What key joins `AccountGroup` to `Account`, and at what grain are `CostCentre` and `CurrencyCode` joined to `Ledger`?\\n4. Who owns data quality, unmapped values, effective dating and change approval for each enrichment?\\n\\n## Currency semantics\\n\\n5. Does `Ledger.SignedAmount` already represent a single reporting currency?\\n6. Is `Ledger.CurrencyCode` intended to describe transaction currency, reporting currency or both?\\n7. If conversion is required, where are exchange rates, rate types and conversion dates governed?\\n\\n## Calendar and model design\\n\\n8. Should `Calendar.FiscalMonth` use summarise by None?\\n9. Are fiscal year, fiscal quarter, sort columns and marked-date-table requirements missing from the partial workbook?\\n10. Should automatic date/time and the hidden local date tables be removed in favour of the explicit `Calendar` table?\\n\\n## Measures and business semantics\\n\\n11. What are the exact DAX expressions and intended production status of `Metrics.Actual Net`, `Metrics.Actual Revenue`, `Metrics.Budget Net` and `Metrics.Net Variance`?\\n12. Are measures intentionally outside the target workbook, or is another target artefact required?\\n\\n## Security and operations\\n\\n13. Are row-level or object-level security requirements expected in production despite zero roles in the observed model?\\n14. What source connections, M logic, refresh behaviour, gateways, environments and deployment controls apply?\\n\\n## Acceptance and target completeness\\n\\n15. Is `TargetArchitecture_Partial.xlsx` intentionally limited to fields, or should the target also define relationships, measures, security, refresh and presentation metadata?\\n16. What tests will prove the ten `reuse_as_is` mappings are semantically correct, including uniqueness, referential integrity, nullability, domains and currency behaviour?\",\"claims\":[{\"statement\":\"Approval and production use of the workbook's hidden reference data are unresolved.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"statement\":\"Currency semantics for Ledger.SignedAmount and the new CurrencyCode field are unresolved.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"statement\":\"Production requirements for measures, security, refresh, deployment and target completeness are unresolved.\",\"authority\":\"unknown\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]}],\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"page_id\":\"fde-finance.evidence-method\",\"page_type\":\"method\",\"title\":\"Evidence and authority method\",\"status\":\"current\",\"summary\":\"The wiki separates observed audit facts, workbook declarations, analytical interpretations, recorded decisions and unknowns, with evidence limitations stated beside affected findings.\",\"body_markdown\":\"# Method\\n\\nThis build uses two primary evidence artefacts:\\n\\n- the deterministic audit of the connected Power BI Desktop model;\\n- the inspected workbook `TargetArchitecture_Partial.xlsx`.\\n\\nRecorded consultant decision receipts provide authority for mapping confirmation and gap scope.\\n\\n## Authority classes\\n\\n| Authority | Use in this wiki |\\n|---|---|\\n| `observed` | Returned directly by the audit or exact workbook/evidence read |\\n| `declared` | Stated in the selected target workbook |\\n| `interpreted` | Analytical conclusion derived from evidence |\\n| `decided` | Confirmed by a recorded consultant decision |\\n| `unknown` | Not established inside the selected access boundary |\\n\\n## Comparison approach\\n\\nThe target field list was compared with normalised current-model elements. Exact qualified-name candidates were reviewed and confirmed. Cases without a current candidate descended to bounded evidence packets and were then resolved by consultant decisions.\\n\\n## Evidence discipline\\n\\n- Existing names and data types support structural comparison, not full semantic equivalence.\\n- A workbook declaration is not an implementation record.\\n- A no-candidate result is bounded non-observation.\\n- A `confirm_gap` decision supports scope treatment but does not prove enterprise-wide absence.\\n- Unknowns remain explicit rather than being inferred away.\\n\\n## Revalidation\\n\\nA later snapshot, broader estate access, approved source design or revised target workbook should trigger revalidation of affected pages and mappings.\",\"claims\":[{\"statement\":\"The current-model audit and selected target workbook are the primary evidence artefacts for this build.\",\"authority\":\"observed\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"statement\":\"Recorded consultant receipts provide decision authority for exact mappings and confirmed gaps.\",\"authority\":\"decided\",\"evidence_artifact_ids\":[\"ev_sha256_a5a5cbf21fd0c1e498c04bf7eafbb2c7fa07762ddc368d53d81b7ca82d46db58\",\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"statement\":\"Structural name and data-type alignment does not by itself establish complete semantic equivalence.\",\"authority\":\"interpreted\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]}],\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\",\"ev_sha256_a5a5cbf21fd0c1e498c04bf7eafbb2c7fa07762ddc368d53d81b7ca82d46db58\",\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]}],\"edges\":[{\"from_page_id\":\"fde-finance.discovery\",\"to_page_id\":\"fde-finance.current-model\",\"edge_type\":\"summarises_current_state\",\"reverse_type\":\"summarised_by\",\"note\":\"Hub navigation to the observed semantic model.\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\"]},{\"from_page_id\":\"fde-finance.discovery\",\"to_page_id\":\"fde-finance.declared-target\",\"edge_type\":\"summarises_target_state\",\"reverse_type\":\"summarised_by\",\"note\":\"Hub navigation to the workbook-declared target.\",\"evidence_artifact_ids\":[\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"from_page_id\":\"fde-finance.discovery\",\"to_page_id\":\"fde-finance.mapping-coverage\",\"edge_type\":\"summarises_mapping\",\"reverse_type\":\"summarised_by\",\"note\":\"Hub navigation to current-to-target coverage.\",\"evidence_artifact_ids\":[\"ev_sha256_a11f31dfefa7810703c3ae3ff271a0b73fcebc2086787da89d17b58544c43d6e\",\"ev_sha256_480433cbc86b45db9ec61c5c174d60618afe10338cbd09c31c5a523ee7f33e5c\"]},{\"from_page_id\":\"fde-finance.discovery\",\"to_page_id\":\"fde-finance.enrichment-gaps\",\"edge_type\":\"highlights_gaps\",\"reverse_type\":\"highlighted_by\",\"note\":\"Hub navigation to material enrichment gaps.\",\"evidence_artifact_ids\":[\"ev_sha256_c406e2ec60e09e96387ed519d698dca13575de450153a59b9e642933e6470ccf\",\"ev_sha256_d8f799f9daf1f126be4b2c1972aed8bc3c6d5a24f8b0459e509f1fb55b099904\",\"ev_sha256_68cb58d8eb09041ff6f29af5420c9a589b422825a8e96bcd0b721bfd05d5ca4f\"]},{\"from_page_id\":\"fde-finance.discovery\",\"to_page_id\":\"fde-finance.recorded-decisions\",\"edge_type\":\"summarises_decisions\",\"reverse_type\":\"summarised_by\",\"note\":\"Hub navigation to confirmed mapping and scope 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