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\"FABIANI\",\n },\n {\n \"work\": \"2023/349\",\n \"cliente\": \"ACQUEDOTTO PUGLIESE\",\n \"pl\": \"SCARANO\",\n },\n {\n \"work\": \"2023/319\",\n \"cliente\": \"R-ACQUE-01\",\n \"pl\": \"GNIZIO\",\n },\n {\n \"work\": \"2023/163\",\n \"cliente\": \"GRAN SASSO\",\n \"pl\": \"FABIANI\",\n },\n {\n \"work\": \"T_24/321\",\n \"cliente\": \"UNIBO01\",\n \"pl\": \"FABIANI\",\n },\n {\n \"work\": \"2023/072\",\n \"cliente\": \"ACQUE BRESCIANE\",\n \"pl\": \"TARANTO\",\n },\n {\n \"work\": \"2023/006\",\n \"cliente\": \"ACQUE BRESCIANE\",\n \"pl\": \"SCARANO\",\n },\n {\n \"work\": \"2022/433\",\n \"cliente\": \"ACINQUE TECNOLOGIE\",\n \"pl\": \"SANTULLO\",\n },\n {\n \"work\": \"2021/540\",\n \"cliente\": \"ALFA01\",\n \"pl\": \"SCARANO\",\n },\n {\n \"work\": \"2021/539\",\n \"cliente\": \"ALFA01\",\n \"pl\": \"SCARANO\",\n },\n {\n \"work\": \"2021/543\",\n \"cliente\": \"VIACQUA\",\n \"pl\": \"BARLETTA\",\n },\n {\n \"work\": \"2023/536.ATS.04\",\n \"cliente\": \"ATS\",\n \"pl\": \"SCARANO\",\n },\n {\n \"work\": \"2021/539.01\",\n \"cliente\": \"ALFA01\",\n \"pl\": \"SCARANO\",\n },\n {\n \"work\": \"T_25/215\",\n \"cliente\": \"KRATOS\",\n \"pl\": \"GNIZIO\",\n },\n {\n \"work\": \"2021/455\",\n \"cliente\": \"IREN-SPA\",\n \"pl\": \"TARANTO\",\n },\n {\n \"work\": \"T_24/477\",\n \"cliente\": \"ABBANOA\",\n \"pl\": \"CESANI\",\n },\n];\n\nasync function callMonday(\n token: string,\n query: string,\n variables: Record,\n) {\n const res = await fetch(API_URL, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"Authorization\": token,\n },\n body: JSON.stringify({ query, variables }),\n });\n const json = await res.json();\n if (json.errors) {\n throw new Error(JSON.stringify(json.errors));\n }\n return json.data;\n}\n\nfunction sleep(ms: number) {\n return new Promise((resolve) => setTimeout(resolve, ms));\n}\n\nfunction htmlPage(bodyHtml: string) {\n return `\n\nImport commesse su Monday\n\n${bodyHtml}\n`;\n}\n\nexport default async function (req: Request): Promise {\n const token = Deno.env.get(\"MONDAY_TOKEN\");\n const noCacheHeaders = {\n \"Content-Type\": \"text/html; charset=utf-8\",\n \"Cache-Control\": \"no-store, no-cache, must-revalidate\",\n };\n\n if (!token) {\n return new Response(htmlPage(\"

Manca la env var MONDAY_TOKEN.

\"), {\n status: 200,\n headers: noCacheHeaders,\n });\n }\n\n const url = new URL(req.url);\n const confirm = url.searchParams.get(\"confirm\") === \"1\";\n\n try {\n const boardQuery = `\n query ($boardId: [ID!]) {\n boards(ids: $boardId) {\n columns { id title type }\n groups { id title }\n items_page(limit: 500) { items { id name } }\n }\n }`;\n const boardData = await callMonday(token, boardQuery, {\n boardId: [BOARD_ID],\n });\n const board = boardData.boards[0];\n\n const clienteCol = board.columns.find((c: any) =>\n c.title === CLIENTE_COLUMN_TITLE\n );\n if (!clienteCol) {\n return new Response(\n htmlPage(\n `

ERRORE: colonna \"${CLIENTE_COLUMN_TITLE}\" non trovata.

`,\n ),\n { status: 200, headers: noCacheHeaders },\n );\n }\n\n let plCol = board.columns.find((c: any) => c.title === PL_COLUMN_TITLE);\n if (!plCol && confirm) {\n const createColQuery = `\n mutation ($boardId: ID!, $title: String!) {\n create_column(board_id: $boardId, title: $title, column_type: text) { id title }\n }`;\n const created = await callMonday(token, createColQuery, {\n boardId: BOARD_ID,\n title: PL_COLUMN_TITLE,\n });\n plCol = created.create_column;\n }\n\n const group = board.groups.find((g: any) => g.title === GROUP_TITLE);\n if (!group) {\n return new Response(\n htmlPage(`

ERRORE: gruppo \"${GROUP_TITLE}\" non trovato.

`),\n { status: 200, headers: noCacheHeaders },\n );\n }\n\n const existingNames = new Set(\n board.items_page.items.map((i: any) => i.name),\n );\n const toCreate = DATA.filter((row) => !existingNames.has(row.work));\n const doneSoFar = DATA.length - toCreate.length;\n\n if (!confirm) {\n const body = `\n

Import commesse reali su Monday

Totale righe: ${DATA.length}. Già presenti: ${doneSoFar}. Da creare: ${toCreate.length}.

\n Avvia / continua caricamento`;\n return new Response(htmlPage(body), {\n status: 200,\n headers: noCacheHeaders,\n });\n }\n\n const batch = toCreate.slice(0, BATCH_SIZE);\n let created = 0;\n const failures: string[] = [];\n\n for (const row of batch) {\n const columnValues: Record = {\n [clienteCol.id]: row.cliente,\n };\n if (plCol) columnValues[plCol.id] = row.pl;\n try {\n const createItemQuery = `\n mutation ($boardId: ID!, $groupId: String, $itemName: String!, $columnValues: JSON) {\n create_item(board_id: $boardId, group_id: $groupId, item_name: $itemName, column_values: $columnValues) { id }\n }`;\n await callMonday(token, createItemQuery, {\n boardId: BOARD_ID,\n groupId: group.id,\n itemName: row.work,\n columnValues: JSON.stringify(columnValues),\n });\n created++;\n } catch (e) {\n failures.push(`${row.work} (${row.cliente}): ${e.message}`);\n }\n await sleep(100);\n }\n\n const newDoneSoFar = doneSoFar + created;\n const remaining = DATA.length - newDoneSoFar - failures.length;\n const percent = Math.round((newDoneSoFar / DATA.length) * 100);\n\n let body = `\n

Import commesse reali su Monday

Lotto completato: creati ${created} su ${batch.length} tentati.

Totale caricato finora: ${newDoneSoFar} di ${DATA.length} (${percent}%).

`;\n\n if (failures.length > 0) {\n body += `

Righe fallite in questo lotto:\\n${\n failures.join(\"\\n\")\n }

`;\n }\n\n if (remaining > 0 || failures.length > 0) {\n body +=\n `Continua con il prossimo lotto`;\n } else {\n body += `

Caricamento completato.

`;\n }\n\n return new Response(htmlPage(body), {\n status: 200,\n headers: noCacheHeaders,\n });\n } catch (e) {\n return new Response(htmlPage(`

ERRORE BLOCCANTE: ${e.message}

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