diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..2ff2f7c --- /dev/null +++ b/.dockerignore @@ -0,0 +1,23 @@ +.git +.gitignore +.DS_Store +.venv +__pycache__ +*.pyc +*.pyo +*.pyd +.pytest_cache +.mypy_cache + +webapp/frontend/node_modules +webapp/frontend/dist + +notebooks +latex +models +poc1.egg-info + +results +var/jobs + +*.log diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000..2e83c45 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,41 @@ +# syntax=docker/dockerfile:1 + +FROM node:20-alpine AS frontend-build +WORKDIR /app/webapp/frontend + +COPY webapp/frontend/package.json webapp/frontend/package-lock.json ./ +RUN npm ci + +COPY webapp/frontend/ ./ +RUN npm run build + +FROM python:3.13-slim AS runtime + +ENV PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + APP_HOST=0.0.0.0 \ + APP_PORT=8000 \ + LOG_LEVEL=info + +WORKDIR /app + +RUN apt-get update \ + && apt-get install -y --no-install-recommends libgomp1 \ + && rm -rf /var/lib/apt/lists/* + +COPY pyproject.toml setup.py README.md ./ +COPY src ./src +COPY webapp/backend ./webapp/backend +COPY data ./data + +RUN pip install --no-cache-dir --upgrade pip \ + && pip install --no-cache-dir ".[web]" + +COPY --from=frontend-build /app/webapp/frontend/dist ./webapp/frontend/dist + +RUN mkdir -p /app/var/jobs +VOLUME ["/app/var"] + +EXPOSE 8000 + +CMD ["sh", "-c", "uvicorn webapp.backend.main:app --host ${APP_HOST} --port ${APP_PORT} --log-level ${LOG_LEVEL}"] diff --git a/README.md b/README.md index c487578..388a4cb 100644 --- a/README.md +++ b/README.md @@ -64,13 +64,41 @@ cd webapp/frontend npm install npm run dev ``` -cd webapp/frontend -npm run dev - Optional: eigene Input/Output-Pfade beim Preprocessing via Umgebungsvariablen: `POC1_INPUT_XLSX`, `POC1_OUTPUT_DIR`. +## Docker (All-in-One) + +Das Docker-Image enthält: +- FastAPI Backend +- React-Frontend als statischer Build (ausgeliefert über FastAPI) +- Python Preprocessing + Optimierung + +Standard-Start über Docker Compose: + +```bash +docker compose up --build +``` + +Danach: +- UI: `http://localhost:8000/` +- Health: `http://localhost:8000/api/health` + +Persistenz: +- Job-Artefakte und Logs bleiben unter `./var` erhalten (Volume-Mount `./var:/app/var`). + +Alternativ ohne Compose: + +```bash +docker build -t leag-coallog:latest . +docker run --rm -p 8000:8000 -v "$(pwd)/var:/app/var" leag-coallog:latest +``` + +Optionale Runtime-Parameter: +- `APP_HOST` (Default: `0.0.0.0`) +- `APP_PORT` (Default: `8000`) +- `LOG_LEVEL` (Default: `info`) ## Abhängigkeiten @@ -78,4 +106,3 @@ Optional: eigene Input/Output-Pfade beim Preprocessing via Umgebungsvariablen: - Pandas (Datenverarbeitung) - NumPy (Numerische Berechnungen) - Matplotlib/Plotly (Visualisierung) - diff --git a/docker-compose.yml b/docker-compose.yml new file mode 100644 index 0000000..7729a64 --- /dev/null +++ b/docker-compose.yml @@ -0,0 +1,14 @@ +services: + app: + build: + context: . + dockerfile: Dockerfile + image: leag-coallog:latest + ports: + - "8000:8000" + environment: + APP_HOST: 0.0.0.0 + APP_PORT: "8000" + LOG_LEVEL: info + volumes: + - ./var:/app/var diff --git a/src/optimization/__pycache__/run_optimization.cpython-313.pyc b/src/optimization/__pycache__/run_optimization.cpython-313.pyc index 0b42911..84d084e 100644 Binary files a/src/optimization/__pycache__/run_optimization.cpython-313.pyc and b/src/optimization/__pycache__/run_optimization.cpython-313.pyc differ diff --git a/src/optimization/run_optimization.py b/src/optimization/run_optimization.py index e15588d..d38c601 100644 --- a/src/optimization/run_optimization.py +++ b/src/optimization/run_optimization.py @@ -43,6 +43,17 @@ def export_results(model: pyo.ConcreteModel, output_path: Path) -> None: val = pyo.value(var, exception=False) return float(val) if val is not None else 0.0 + def excel_col_letter(index_zero_based: int) -> str: + # Convert 0-based index to Excel column letters (A, ..., Z, AA, AB, ...). + if index_zero_based < 0: + raise ValueError("index_zero_based must be non-negative") + n = index_zero_based + 1 + letters: list[str] = [] + while n > 0: + n, rem = divmod(n - 1, 26) + letters.append(chr(65 + rem)) + return "".join(reversed(letters)) + def autosize_worksheet(ws, df, index_cols=None, max_width=25): if index_cols is None: index_cols = list(df.index.names) @@ -421,7 +432,7 @@ def export_results(model: pyo.ConcreteModel, output_path: Path) -> None: index_scale=1.2, ) for i, w in enumerate(widths): - ws1.column_dimensions[chr(65 + i)].width = w + ws1.column_dimensions[excel_col_letter(i)].width = w if bunker_sheet is not None: bunker_sheet.to_excel(writer, sheet_name="mit_Bunkerbestand") @@ -494,7 +505,7 @@ def export_results(model: pyo.ConcreteModel, output_path: Path) -> None: index_scale=1.2, ) for i, w in enumerate(widths): - worksheet.column_dimensions[chr(65 + i)].width = w + worksheet.column_dimensions[excel_col_letter(i)].width = w header_fill = PatternFill("solid", fgColor="E6E6E6") block_colors = ["DCEFFE", "FDEBD0", "E8F8F5", "FADBD8", "E8DAEF", "FEF9E7"] block_fills = [PatternFill("solid", fgColor=c) for c in block_colors] @@ -666,7 +677,7 @@ def export_results(model: pyo.ConcreteModel, output_path: Path) -> None: # No group fill for bunker_empirisch (column H). widths = autosize_worksheet(ws_mix, mix_df, index_cols=[]) for i, w in enumerate(widths[1:]): - ws_mix.column_dimensions[chr(65 + i)].width = w + ws_mix.column_dimensions[excel_col_letter(i)].width = w def main() -> None: diff --git a/webapp/backend/main.py b/webapp/backend/main.py index 2c4e77c..9231367 100644 --- a/webapp/backend/main.py +++ b/webapp/backend/main.py @@ -13,8 +13,10 @@ from pathlib import Path from fastapi import FastAPI, File, Form, HTTPException, UploadFile from fastapi.middleware.cors import CORSMiddleware from fastapi.responses import FileResponse, PlainTextResponse, StreamingResponse +from fastapi.staticfiles import StaticFiles PROJECT_ROOT = Path(__file__).resolve().parents[2] +FRONTEND_DIST = PROJECT_ROOT / "webapp" / "frontend" / "dist" VAR_DIR = PROJECT_ROOT / "var" JOBS_DIR = VAR_DIR / "jobs" JOBS_DIR.mkdir(parents=True, exist_ok=True) @@ -973,3 +975,22 @@ def job_log_stream(job_id: str, log_name: str) -> StreamingResponse: time.sleep(0.5) return StreamingResponse(event_stream(), media_type="text/event-stream") + + +if FRONTEND_DIST.exists(): + assets_dir = FRONTEND_DIST / "assets" + if assets_dir.exists(): + app.mount("/assets", StaticFiles(directory=assets_dir), name="frontend-assets") + + @app.get("/", include_in_schema=False) + def frontend_index() -> FileResponse: + return FileResponse(FRONTEND_DIST / "index.html") + + @app.get("/{full_path:path}", include_in_schema=False) + def frontend_spa(full_path: str) -> FileResponse: + if full_path.startswith("api/"): + raise HTTPException(status_code=404, detail="Not found") + target = FRONTEND_DIST / full_path + if target.exists() and target.is_file(): + return FileResponse(target) + return FileResponse(FRONTEND_DIST / "index.html") diff --git a/webapp/frontend/index.html b/webapp/frontend/index.html new file mode 100644 index 0000000..86f5257 --- /dev/null +++ b/webapp/frontend/index.html @@ -0,0 +1,12 @@ + + + + + + POC1 Optimierung + + +
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@@ -0,0 +1,394 @@ +:root { + --ink: #1a1a1a; + --slate: #4a4a4a; + --sand: #f4f0e6; + --clay: #d0b58a; + --ember: #b34a2a; + --paper: #ffffff; + --shadow: 0 20px 50px rgba(0, 0, 0, 0.12); + --panel: #fffdf8; + --panel-soft: #fffaf1; + --line: #eadfcb; + --line-soft: #eee3cf; + --log-bg: #f6efe4; + --log-ink: #2f2a25; +} + +:root[data-theme="dark"] { + --ink: #e8edf2; + --slate: #b7c0c9; + --clay: #9a845f; + --ember: #d97b59; + --paper: #161b20; + --shadow: 0 20px 50px rgba(0, 0, 0, 0.35); + --panel: #1b2127; + --panel-soft: #222a31; + --line: #36404a; + --line-soft: #414b56; + --log-bg: #222930; + --log-ink: #d8e0e8; +} + +* { + box-sizing: border-box; +} + +body { + margin: 0; + font-family: "Palatino Linotype", "Book Antiqua", Palatino, serif; + color: var(--ink); + background: radial-gradient(circle at top, #f8f5ed 0%, #efe6d5 40%, #e0d0b2 100%); + min-height: 100vh; +} + +:root[data-theme="dark"] body { + background: radial-gradient(circle at top, #20272e 0%, #171c22 40%, #11161b 100%); +} + +.page { + display: flex; + flex-direction: column; + gap: 32px; + padding: 40px 24px 72px; +} + +.hero { + position: relative; + padding: 32px 24px; + border-radius: 24px; + background: linear-gradient(120deg, #ffffff 0%, #f1e4cc 100%); + box-shadow: var(--shadow); + overflow: hidden; + animation: reveal 600ms ease-out; +} + +:root[data-theme="dark"] .hero { + background: linear-gradient(120deg, #20262d 0%, #182027 100%); +} + +.hero::after { + content: ""; + position: absolute; + inset: -40% -20% auto auto; + width: 200px; + height: 200px; + background: radial-gradient(circle, rgba(179, 74, 42, 0.35), transparent 70%); +} + +.hero-content { + position: relative; + z-index: 1; +} + +.hero-top { + display: flex; + justify-content: space-between; + align-items: flex-start; + gap: 16px; +} + +.eyebrow { + text-transform: uppercase; + letter-spacing: 0.2em; + font-size: 0.7rem; + color: var(--ember); + margin: 0 0 8px; +} + +h1 { + margin: 0 0 12px; + font-size: clamp(2rem, 3vw, 3rem); +} + +.subtitle { + margin: 0; + color: var(--slate); + max-width: 520px; +} + +.card { + background: var(--paper); + border-radius: 20px; + padding: 32px; + box-shadow: var(--shadow); + animation: reveal 700ms ease-out; +} + +.form { + display: flex; + flex-direction: column; + gap: 16px; + max-width: 720px; +} + +.file-card { + display: flex; + flex-direction: column; + gap: 12px; + padding: 16px; + border: 2px dashed var(--clay); + border-radius: 16px; + background: var(--panel-soft); + cursor: pointer; +} + +.file-card input { + display: none; +} + +.file-card.disabled { + opacity: 0.55; + cursor: not-allowed; +} + +.form-actions { + display: flex; + gap: 12px; + flex-wrap: wrap; + width: fit-content; +} + +.theme-toggle { + background: transparent; + color: var(--ink); + border: 1px solid var(--line); + box-shadow: none; + white-space: nowrap; +} + +.theme-toggle:hover { + transform: none; + box-shadow: none; + background: var(--panel-soft); +} + +button { + border: none; + border-radius: 12px; + padding: 12px 16px; + font-size: 1rem; + background: var(--ember); + color: white; + cursor: pointer; + transition: transform 150ms ease, box-shadow 150ms ease; +} + +button:hover { + transform: translateY(-2px); + box-shadow: 0 12px 24px rgba(179, 74, 42, 0.25); +} + +button:disabled { + opacity: 0.5; + cursor: not-allowed; + transform: none; + box-shadow: none; +} + +button.secondary { + background: var(--panel-soft); + color: var(--ink); +} + +.status { + margin-top: 24px; + display: flex; + flex-direction: column; + gap: 8px; +} + +.progress-panel { + margin-top: 4px; + padding: 10px 12px; + border: 1px solid var(--line); + border-radius: 12px; + background: var(--panel-soft); + display: flex; + flex-direction: column; + gap: 8px; +} + +.progress-panel-row { + display: flex; + align-items: center; + justify-content: space-between; + gap: 12px; + color: var(--slate); + font-size: 0.9rem; +} + +.progress-panel-row strong { + color: var(--ink); +} + +.progress-metrics { + display: flex; + flex-wrap: wrap; + gap: 8px 14px; + font-size: 0.85rem; + color: var(--ink); +} + +.progress-metrics.terminal-like { + font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", + "Courier New", monospace; + background: var(--log-bg); + border-radius: 8px; + padding: 8px 10px; + border: 1px solid var(--line); +} + +.muted { + color: var(--slate); + font-size: 0.9rem; +} + +.download { + display: inline-block; + padding: 10px 14px; + border-radius: 12px; + background: var(--clay); + color: var(--ink); + text-decoration: none; + width: fit-content; +} + +.log { + margin-top: 16px; + padding: 12px; + background: var(--log-bg); + border-radius: 12px; + max-height: 240px; + overflow: auto; + font-size: 0.85rem; + color: var(--log-ink); +} + +.chart-panel { + margin-top: 28px; + padding-top: 20px; + border-top: 1px solid var(--line); + display: flex; + flex-direction: column; + gap: 16px; +} + +.charts-stack { + display: flex; + flex-direction: column; + gap: 20px; +} + +.chart-card { + padding: 14px; + border: 1px solid var(--line-soft); + border-radius: 16px; + background: var(--panel); + box-shadow: 0 8px 24px rgba(0, 0, 0, 0.05); +} + +.chart-card-title { + display: flex; + flex-wrap: wrap; + justify-content: space-between; + gap: 8px 16px; + align-items: baseline; + margin-bottom: 10px; +} + +.chart-card-title strong { + font-size: 1rem; +} + +.chart-card-title span { + color: var(--slate); + font-size: 0.9rem; +} + +.chart-panel h2 { + margin: 0 0 6px; + font-size: 1.25rem; +} + +.chart-panel-header { + display: flex; + justify-content: space-between; + align-items: flex-start; + gap: 16px; + flex-wrap: wrap; +} + +.target-select { + display: flex; + flex-direction: column; + gap: 6px; + min-width: 220px; + max-width: 280px; + font-size: 0.9rem; + color: var(--slate); +} + +.target-select select { + border: 1px solid var(--line); + border-radius: 10px; + padding: 10px 12px; + background: var(--panel-soft); + color: var(--ink); + font: inherit; +} + +.target-select input { + border: 1px solid var(--line); + border-radius: 10px; + padding: 10px 12px; + background: var(--panel-soft); + color: var(--ink); + font: inherit; +} + +.target-select.compact { + min-width: auto; + margin-bottom: 10px; +} + +.plot { + border-radius: 14px; + overflow: hidden; + background: var(--panel-soft); + border: 1px solid var(--line-soft); +} + +@keyframes reveal { + from { + opacity: 0; + transform: translateY(12px); + } + to { + opacity: 1; + transform: translateY(0); + } +} + +@media (max-width: 720px) { + .card { + padding: 24px; + } + + .hero { + padding: 24px 20px; + } + + .target-select { + min-width: 100%; + } + + .chart-card-title { + flex-direction: column; + align-items: flex-start; + } + + .hero-top { + flex-direction: column; + align-items: stretch; + } +} diff --git a/webapp/frontend/src/App.jsx b/webapp/frontend/src/App.jsx new file mode 100644 index 0000000..c32927b --- /dev/null +++ b/webapp/frontend/src/App.jsx @@ -0,0 +1,1048 @@ +import { useEffect, useState } from "react"; +import Plot from "react-plotly.js"; + +const API_BASE = import.meta.env.VITE_API_BASE || ""; +const THEME_STORAGE_KEY = "poc1-theme"; +const SOURCE_ORDER = ["Reichwalde", "Nochten", "Welzow"]; +const SOURCE_COLORS = { + Reichwalde: "#e4dc41", + Nochten: "#f6bd1f", + Welzow: "#ef6c00", +}; +const TARGET_ORDER = ["J", "SP", "B3", "B4", "V"]; +const TARGET_COLORS = { + J: "#439c6b", + SP: "#5aaed6", + B3: "#ef6c00", + B4: "#f6bd1f", + V: "#e4dc41", +}; +const TARGET_LABELS = { + J: "KW Jänschwalde", + SP: "KW Schwarze Pumpe", + B3: "KW Boxberg Werk 3", + B4: "KW Boxberg Werk 4", + V: "Veredlung", +}; +const SOURCE_LABELS = { + Reichwalde: "TB Reichwalde", + Nochten: "TB Nochten", + Welzow: "TB Welzow-Süd", +}; + +function toNumber(value) { + return typeof value === "number" ? value : Number(value || 0); +} + +function tonnesToKt(valueTonnes) { + return toNumber(valueTonnes) / 1000; +} + +function formatKt(valueTonnes) { + return Math.round(tonnesToKt(valueTonnes)).toLocaleString("de-DE"); +} + +function formatPct(part, total) { + if (!total) return "0%"; + return `${Math.round((100 * part) / total)}%`; +} + +function monthLabel(monthKey) { + if (!monthKey) return ""; + const [year, month] = monthKey.split("-").map(Number); + const date = new Date(year, (month || 1) - 1, 1); + return date.toLocaleDateString("de-DE", { month: "long", year: "numeric" }); +} + +function extractOptimizationLog(fullLogText) { + if (!fullLogText) return ""; + const marker = "=== Optimierung ==="; + const idx = fullLogText.indexOf(marker); + if (idx === -1) return fullLogText; + return fullLogText.slice(idx + marker.length).trim(); +} + +function parseSolverProgress(logText, solverName) { + const optimizationLog = extractOptimizationLog(logText); + if (!optimizationLog) { + return {}; + } + + const metrics = {}; + const lines = optimizationLog.split("\n").map((line) => line.trimEnd()); + const reversed = [...lines].reverse(); + const text = optimizationLog; + const solver = (solverName || "").toLowerCase(); + + const assignIfNumber = (key, value) => { + const num = Number(value); + if (Number.isFinite(num)) { + metrics[key] = num; + } + }; + + if (solver === "scip") { + for (const line of reversed) { + if (!metrics.gapPct) { + const m = line.match(/gap[^0-9-]*([0-9]+(?:\.[0-9]+)?)\s*%/i); + if (m) assignIfNumber("gapPct", m[1]); + } + if (!metrics.nodes) { + const m = line.match(/Solving Nodes\s*:\s*([0-9]+)/i); + if (m) assignIfNumber("nodes", m[1]); + } + if (!metrics.bestPrimal) { + const m = line.match(/Primal Bound\s*:\s*([+-]?[0-9.eE]+)/i); + if (m) assignIfNumber("bestPrimal", m[1]); + } + if (!metrics.bestDual) { + const m = line.match(/Dual Bound\s*:\s*([+-]?[0-9.eE]+)/i); + if (m) assignIfNumber("bestDual", m[1]); + } + + // Best-effort parsing of SCIP progress table rows: time|node|...|gap + if ((!metrics.gapPct || !metrics.nodes) && line.includes("|")) { + if (!metrics.nodes) { + const nodeCol = line.match(/^\s*[^|]+\|\s*([0-9]+)\s*\|/); + if (nodeCol) assignIfNumber("nodes", nodeCol[1]); + } + if (!metrics.gapPct) { + const percents = [...line.matchAll(/([0-9]+(?:\.[0-9]+)?)\s*%/g)]; + if (percents.length > 0) { + assignIfNumber("gapPct", percents[percents.length - 1][1]); + } + } + } + + if (metrics.gapPct != null && metrics.nodes != null && metrics.bestPrimal != null) { + break; + } + } + } else if (solver === "gurobi") { + for (const line of reversed) { + if (!metrics.gapPct) { + const m = line.match(/\bgap\s+([0-9]+(?:\.[0-9]+)?)%/i); + if (m) assignIfNumber("gapPct", m[1]); + } + if (!metrics.nodes) { + const m = line.match(/Explored\s+([0-9]+)\s+nodes/i); + if (m) assignIfNumber("nodes", m[1]); + } + if (metrics.gapPct != null && metrics.nodes != null) break; + } + } else if (solver === "highs") { + for (const line of reversed) { + if (!metrics.gapPct) { + const m = line.match(/\bgap[^0-9-]*([0-9]+(?:\.[0-9]+)?)\s*%/i); + if (m) assignIfNumber("gapPct", m[1]); + } + if (metrics.gapPct != null) break; + } + } + + const statusPatterns = [ + /SCIP Status\s*:\s*(.+)/i, + /Model status\s*:\s*(.+)/i, + /Status\s*:\s*(.+)/i, + ]; + for (const line of reversed) { + for (const pattern of statusPatterns) { + const m = line.match(pattern); + if (m) { + metrics.solverStatus = m[1].trim(); + return metrics; + } + } + } + + return metrics; +} + +export default function App() { + const [file, setFile] = useState(null); + const [status, setStatus] = useState("Bereit für Upload"); + const [downloadUrl, setDownloadUrl] = useState(""); + const [jobId, setJobId] = useState(""); + const [logText, setLogText] = useState(""); + const [jobState, setJobState] = useState(""); + const [monthlyFlows, setMonthlyFlows] = useState(null); + const [monthlyFlowError, setMonthlyFlowError] = useState(""); + const [selectedMonth, setSelectedMonth] = useState(""); + const [capacityData, setCapacityData] = useState(null); + const [capacityError, setCapacityError] = useState(""); + const [selectedCapacitySeries, setSelectedCapacitySeries] = useState({}); + const [solver, setSolver] = useState("highs"); + const [stepSizeTonnes, setStepSizeTonnes] = useState("1000"); + const [mipGapPct, setMipGapPct] = useState("5"); + const [maxRuntimeMinutes, setMaxRuntimeMinutes] = useState("10"); + const [availableSolvers, setAvailableSolvers] = useState({ + highs: true, + gurobi: false, + scip: false, + }); + const [theme, setTheme] = useState("dark"); + const [jobSolver, setJobSolver] = useState(""); + const [jobStepSizeTonnes, setJobStepSizeTonnes] = useState(""); + const [jobMipGapPct, setJobMipGapPct] = useState(""); + const [jobMaxRuntimeMinutes, setJobMaxRuntimeMinutes] = useState(""); + const [elapsedSeconds, setElapsedSeconds] = useState(0); + const [timerRunning, setTimerRunning] = useState(false); + const [cancelPending, setCancelPending] = useState(false); + + const handleSubmit = async (event) => { + event.preventDefault(); + if (!file) { + setStatus("Bitte zuerst eine Excel-Datei wählen."); + return; + } + + setStatus("Upload läuft…"); + setDownloadUrl(""); + setJobId(""); + setLogText(""); + setJobState(""); + setMonthlyFlows(null); + setMonthlyFlowError(""); + setSelectedMonth(""); + setCapacityData(null); + setCapacityError(""); + setSelectedCapacitySeries({}); + setJobSolver(""); + setJobStepSizeTonnes(""); + setJobMipGapPct(""); + setJobMaxRuntimeMinutes(""); + setElapsedSeconds(0); + setTimerRunning(true); + setCancelPending(false); + + const formData = new FormData(); + formData.append("file", file); + formData.append("solver", solver); + formData.append("step_size_tonnes", stepSizeTonnes); + formData.append("mip_gap_pct", mipGapPct); + formData.append("max_runtime_minutes", maxRuntimeMinutes); + + try { + const response = await fetch(`${API_BASE}/api/run`, { + method: "POST", + body: formData, + }); + + if (!response.ok) { + throw new Error("Serverfehler beim Starten des Jobs"); + } + + const data = await response.json(); + setJobId(data.job_id); + setJobSolver(data.solver || solver); + setJobStepSizeTonnes(String(data.step_size_tonnes || stepSizeTonnes)); + setJobMipGapPct(String(data.mip_gap_pct || mipGapPct)); + setJobMaxRuntimeMinutes(String(data.max_runtime_minutes || maxRuntimeMinutes)); + setStatus("Job gestartet. Warte auf Ergebnis…"); + } catch (error) { + setStatus("Fehler: Job konnte nicht abgeschlossen werden."); + setTimerRunning(false); + } + }; + + const handleCancel = async () => { + if (!jobId || cancelPending) { + return; + } + setCancelPending(true); + try { + const response = await fetch(`${API_BASE}/api/jobs/${jobId}/cancel`, { + method: "POST", + }); + if (!response.ok) { + throw new Error("Abbrechen fehlgeschlagen"); + } + const data = await response.json(); + setJobState(data.status || "cancelling"); + setStatus("Abbruch angefordert…"); + } catch { + setStatus("Fehler beim Abbrechen des Jobs."); + setCancelPending(false); + } + }; + + const pollStatus = async (id) => { + try { + const response = await fetch(`${API_BASE}/api/jobs/${id}`); + if (!response.ok) { + return; + } + const data = await response.json(); + setJobState(data.status); + setStatus(`Status: ${data.status}`); + if (data.solver) { + setJobSolver(data.solver); + } + if (data.step_size_tonnes) { + setJobStepSizeTonnes(String(data.step_size_tonnes)); + } + if (data.mip_gap_pct) { + setJobMipGapPct(String(data.mip_gap_pct)); + } + if (data.max_runtime_minutes) { + setJobMaxRuntimeMinutes(String(data.max_runtime_minutes)); + } + if (data.status === "completed") { + setDownloadUrl(`${API_BASE}/api/jobs/${id}/output`); + setStatus("Fertig. Ergebnis steht zum Download bereit."); + setTimerRunning(false); + setCancelPending(false); + } + if (data.status === "failed") { + setStatus(`Fehler: ${data.error || "Job fehlgeschlagen"}`); + setTimerRunning(false); + setCancelPending(false); + } + if (data.status === "cancelled") { + setStatus("Job wurde abgebrochen."); + setTimerRunning(false); + setCancelPending(false); + } + } catch { + setStatus("Fehler beim Status-Abruf."); + } + }; + + const loadMonthlyFlows = async (id) => { + try { + const response = await fetch(`${API_BASE}/api/jobs/${id}/monthly-flows`); + if (!response.ok) { + throw new Error("Monatsdaten konnten nicht geladen werden"); + } + const data = await response.json(); + setMonthlyFlows(data); + setMonthlyFlowError(""); + const months = Array.from(new Set((data.rows || []).map((row) => row.month))).sort(); + if (months.length > 0) { + setSelectedMonth(months[months.length - 1]); + } + } catch { + setMonthlyFlowError("Monatsdaten für Plot konnten nicht geladen werden."); + } + }; + + const loadCapacityData = async (id) => { + try { + const response = await fetch(`${API_BASE}/api/jobs/${id}/capacity-timeseries`); + if (!response.ok) { + throw new Error("Kapazitätsdaten konnten nicht geladen werden"); + } + const data = await response.json(); + setCapacityData(data); + setCapacityError(""); + const defaults = {}; + for (const group of data.groups || []) { + if (group.series?.length) { + defaults[group.key] = group.series[0].id; + } + } + setSelectedCapacitySeries(defaults); + } catch { + setCapacityError("Kapazitäts-Zeitreihen konnten nicht geladen werden."); + } + }; + + const loadBackendCapabilities = async () => { + try { + const response = await fetch(`${API_BASE}/api/health`); + if (!response.ok) { + return; + } + const data = await response.json(); + const reported = data?.solvers || {}; + const solvers = { + highs: reported.highs !== false, + gurobi: reported.gurobi === true, + scip: reported.scip === true, + }; + setAvailableSolvers(solvers); + if ( + (solver === "gurobi" && !solvers.gurobi) || + (solver === "scip" && !solvers.scip) + ) { + setSolver("highs"); + } + } catch { + // Keep defaults (HiGHS enabled, Gurobi hidden). + } + }; + + const fetchJobLogs = async (id) => { + const fetchOne = async (name) => { + try { + const response = await fetch(`${API_BASE}/api/jobs/${id}/logs/${name}`); + if (!response.ok) { + return ""; + } + return await response.text(); + } catch { + return ""; + } + }; + + const [preprocessLog, optimizationLog] = await Promise.all([ + fetchOne("preprocess"), + fetchOne("optimization"), + ]); + + const sections = []; + if (preprocessLog.trim()) { + sections.push(`=== Preprocessing ===\n${preprocessLog.trimEnd()}`); + } + if (optimizationLog.trim()) { + sections.push(`=== Optimierung ===\n${optimizationLog.trimEnd()}`); + } + setLogText(sections.join("\n\n")); + }; + + useEffect(() => { + try { + const saved = window.localStorage.getItem(THEME_STORAGE_KEY); + if (saved === "light" || saved === "dark") { + setTheme(saved); + } + } catch { + // ignore + } + }, []); + + useEffect(() => { + document.documentElement.dataset.theme = theme; + try { + window.localStorage.setItem(THEME_STORAGE_KEY, theme); + } catch { + // ignore + } + }, [theme]); + + useEffect(() => { + loadBackendCapabilities(); + }, []); + + useEffect(() => { + if ( + !jobId || + downloadUrl || + jobState === "failed" || + jobState === "completed" || + jobState === "cancelled" + ) { + return undefined; + } + const interval = setInterval(() => { + pollStatus(jobId); + }, 3000); + return () => clearInterval(interval); + }, [jobId, downloadUrl, jobState]); + + useEffect(() => { + if (!timerRunning) { + return undefined; + } + const interval = setInterval(() => { + setElapsedSeconds((prev) => prev + 1); + }, 1000); + return () => clearInterval(interval); + }, [timerRunning]); + + useEffect(() => { + if (jobId && jobState === "completed") { + loadMonthlyFlows(jobId); + loadCapacityData(jobId); + } + }, [jobId, jobState]); + + useEffect(() => { + if (!jobId) { + return undefined; + } + let cancelled = false; + + const refreshLogs = async () => { + await fetchJobLogs(jobId); + }; + + refreshLogs(); + + if (jobState === "failed" || jobState === "completed" || jobState === "cancelled") { + return () => { + cancelled = true; + }; + } + + const interval = setInterval(() => { + if (!cancelled) { + refreshLogs(); + } + }, 1500); + + return () => { + cancelled = true; + clearInterval(interval); + }; + }, [jobId, jobState]); + + const isDark = theme === "dark"; + const plotTheme = { + paper: isDark ? "#1a1f24" : "#ffffff", + plot: isDark ? "#20262c" : "#ffffff", + grid: isDark ? "#36404a" : "#f0e6d2", + text: isDark ? "#e8edf2" : "#1a1a1a", + axis: isDark ? "#c9d3dc" : "#4a4a4a", + usage: isDark ? "#7fd0e0" : "#2f6f7e", + limit: isDark ? "#ff8f70" : "#b34a2a", + annotation: isDark ? "#cfe7ff" : "#1f4f6d", + }; + + const allRows = monthlyFlows?.rows || []; + const monthOptions = Array.from(new Set(allRows.map((row) => row.month))).sort(); + const activeMonth = + selectedMonth && monthOptions.includes(selectedMonth) + ? selectedMonth + : monthOptions[monthOptions.length - 1] || ""; + const monthRows = allRows.filter((row) => row.month === activeMonth); + + const matrix = {}; + for (const target of TARGET_ORDER) { + matrix[target] = {}; + for (const source of SOURCE_ORDER) { + matrix[target][source] = 0; + } + } + for (const row of monthRows) { + const target = row.target; + const source = row.source; + if (!matrix[target]) { + matrix[target] = {}; + } + matrix[target][source] = toNumber(row.amount_tonnes); + } + + const targetTotals = {}; + for (const target of TARGET_ORDER) { + targetTotals[target] = SOURCE_ORDER.reduce( + (sum, source) => sum + toNumber(matrix[target]?.[source]), + 0 + ); + } + const sourceTotals = {}; + for (const source of SOURCE_ORDER) { + sourceTotals[source] = TARGET_ORDER.reduce( + (sum, target) => sum + toNumber(matrix[target]?.[source]), + 0 + ); + } + const grandTotal = TARGET_ORDER.reduce((sum, target) => sum + targetTotals[target], 0); + + const presentTargets = TARGET_ORDER.filter((target) => targetTotals[target] > 0); + const presentSources = SOURCE_ORDER.filter((source) => sourceTotals[source] > 0); + const demandBarY = ["Rohkohlebedarf [kt]"]; + + const demandDistributionData = presentTargets.map((target) => ({ + type: "bar", + orientation: "h", + name: TARGET_LABELS[target], + x: [tonnesToKt(targetTotals[target])], + y: demandBarY, + marker: { color: TARGET_COLORS[target] }, + text: [`${formatKt(targetTotals[target])} (${formatPct(targetTotals[target], grandTotal)})`], + textposition: "inside", + insidetextanchor: "middle", + hovertemplate: + `${TARGET_LABELS[target]}
%{x:,.0f} kt`.replace(",", "."), + })); + + const demandDistributionAnnotations = + grandTotal > 0 + ? [ + { + x: tonnesToKt(grandTotal), + y: demandBarY[0], + xshift: 50, + showarrow: false, + text: `${formatKt(grandTotal)} kt`, + font: { size: 14, color: plotTheme.annotation }, + }, + ] + : []; + + const targetBySourceData = presentSources.map((source) => ({ + type: "bar", + orientation: "h", + name: SOURCE_LABELS[source], + y: presentTargets.map((target) => TARGET_LABELS[target]), + x: presentTargets.map((target) => tonnesToKt(matrix[target]?.[source] || 0)), + marker: { color: SOURCE_COLORS[source] }, + text: presentTargets.map((target) => { + const value = matrix[target]?.[source] || 0; + if (value <= 0) return ""; + return `${formatKt(value)} (${formatPct(value, targetTotals[target])})`; + }), + textposition: "inside", + insidetextanchor: "middle", + hovertemplate: `${SOURCE_LABELS[source]}
%{y}: %{x:,.0f} kt`, + })); + + const targetBySourceAnnotations = presentTargets + .filter((target) => targetTotals[target] > 0) + .map((target) => ({ + x: tonnesToKt(targetTotals[target]), + y: TARGET_LABELS[target], + xshift: 42, + showarrow: false, + text: `${formatKt(targetTotals[target])}`, + font: { size: 14, color: plotTheme.annotation }, + })); + + const sourceToTargetData = presentTargets.map((target) => ({ + type: "bar", + name: TARGET_LABELS[target], + x: presentSources.map((source) => SOURCE_LABELS[source]), + y: presentSources.map((source) => tonnesToKt(matrix[target]?.[source] || 0)), + marker: { color: TARGET_COLORS[target] }, + text: presentSources.map((source) => { + const value = matrix[target]?.[source] || 0; + if (value <= 0) return ""; + return `${formatKt(value)} (${formatPct(value, sourceTotals[source])})`; + }), + textposition: "inside", + insidetextanchor: "middle", + hovertemplate: `${TARGET_LABELS[target]}
%{x}: %{y:,.0f} kt`, + })); + + const sourceToTargetAnnotations = presentSources + .filter((source) => sourceTotals[source] > 0) + .map((source) => ({ + x: SOURCE_LABELS[source], + y: tonnesToKt(sourceTotals[source]), + yshift: 16, + showarrow: false, + text: `${formatKt(sourceTotals[source])} kt`, + font: { size: 14, color: plotTheme.annotation }, + })); + + const runtimeLabel = (() => { + const minutes = Math.floor(elapsedSeconds / 60); + const seconds = elapsedSeconds % 60; + return `${String(minutes).padStart(2, "0")}:${String(seconds).padStart(2, "0")}`; + })(); + + const capacityGroups = capacityData?.groups || []; + const getCapacityGroup = (key) => capacityGroups.find((group) => group.key === key); + const buildCapacityPlot = (groupKey) => { + const group = getCapacityGroup(groupKey); + if (!group || !group.series?.length) { + return null; + } + const selectedId = selectedCapacitySeries[groupKey] || group.series[0].id; + const series = group.series.find((item) => item.id === selectedId) || group.series[0]; + const points = series.points || []; + const usageTrace = { + type: "scatter", + mode: "lines+markers", + name: "Nutzung", + x: points.map((p) => p.x), + y: points.map((p) => tonnesToKt(p.usage_tonnes)), + line: { color: plotTheme.usage, width: 3 }, + marker: { size: 6, color: plotTheme.usage }, + customdata: points.map((p) => [p.label, p.utilization_pct]), + hovertemplate: + "%{customdata[0]}
Nutzung: %{y:.1f} kt
Auslastung: %{customdata[1]:.1f}%", + }; + const limitTrace = { + type: "scatter", + mode: "lines", + name: "Grenze", + x: points.map((p) => p.x), + y: points.map((p) => + p.limit_tonnes == null || Number.isNaN(p.limit_tonnes) ? null : tonnesToKt(p.limit_tonnes) + ), + line: { color: plotTheme.limit, width: 2, dash: "dash" }, + hovertemplate: "%{x}
Grenze: %{y:.1f} kt", + }; + return { + group, + series, + data: [usageTrace, limitTrace], + layout: { + paper_bgcolor: plotTheme.paper, + plot_bgcolor: plotTheme.plot, + font: { color: plotTheme.text }, + margin: { l: 60, r: 20, t: 30, b: 70 }, + xaxis: { + title: series.granularity === "month" ? "Monat" : "Zeit", + automargin: true, + gridcolor: plotTheme.grid, + color: plotTheme.axis, + }, + yaxis: { title: "kt", gridcolor: plotTheme.grid, color: plotTheme.axis }, + legend: { orientation: "h", y: 1.15, x: 0 }, + }, + }; + }; + + const jobInProgress = + Boolean(jobId) && + !["completed", "failed", "cancelled"].includes(jobState || ""); + const activeSolver = (jobSolver || solver || "highs").toLowerCase(); + const solverProgress = parseSolverProgress(logText, activeSolver); + const foerderPlot = buildCapacityPlot("foerder"); + const verladungPlot = buildCapacityPlot("verladung"); + const zugPlot = buildCapacityPlot("zugdurchlass"); + + return ( +
+
+
+
+
+

LEAG • POC1

+

Rohkohle-Optimierung

+

+ Excel hochladen, Optimierung starten, Ergebnis als Excel herunterladen. +

+
+ +
+
+
+ +
+
+ + + + + + + + + + +
+ + {jobInProgress && ( + + )} +
+
+ +
+

{status}

+ {(timerRunning || elapsedSeconds > 0) && ( +

+ Laufzeit: {runtimeLabel} + {timerRunning ? " (läuft)" : " (fertig)"} +

+ )} + {jobId &&

Job-ID: {jobId}

} +

Solver: {jobSolver || solver}

+

Schrittweite: {jobStepSizeTonnes || stepSizeTonnes} t

+

MIP Gap: {jobMipGapPct || mipGapPct}%

+

+ Max Laufzeit: {jobMaxRuntimeMinutes || maxRuntimeMinutes} min +

+ {(jobId || logText) && ( +
+
+ Solver-Monitor (aus Log) +
+
+ {solverProgress.gapPct != null && ( + Gap: {solverProgress.gapPct.toFixed(2)}% + )} + {solverProgress.nodes != null && Nodes: {solverProgress.nodes}} + {solverProgress.bestPrimal != null && ( + Primal: {solverProgress.bestPrimal.toExponential(3)} + )} + {solverProgress.bestDual != null && ( + Dual: {solverProgress.bestDual.toExponential(3)} + )} + {solverProgress.solverStatus && ( + Status: {solverProgress.solverStatus} + )} + {solverProgress.gapPct == null && + solverProgress.nodes == null && + solverProgress.bestPrimal == null && + solverProgress.bestDual == null && + !solverProgress.solverStatus && ( + Keine strukturierten Fortschrittsdaten erkannt, siehe Solver-Log unten. + )} +
+
+ )} + {downloadUrl && ( + + Ergebnis herunterladen + + )} + {logText && ( + 
+              {logText}
+
+ )} +
+ + {(monthlyFlows || monthlyFlowError) && ( +
+
+
+

Monatliche Liefermengen

+

+ Visualisierung der Mengenströme Tagebau ↔ Kraftwerk/Veredlung auf Monatsbasis. +

+
+ {monthOptions.length > 0 && ( + + )} +
+ + {monthlyFlowError &&

{monthlyFlowError}

} + {!monthlyFlowError && activeMonth && grandTotal > 0 && ( +
+
+
+ Bedarfsverteilung + {monthLabel(activeMonth)} +
+ +
+ +
+
+ Verteilung je Kraftwerk / Veredlung + nach Tagebau, {monthLabel(activeMonth)} +
+ TARGET_LABELS[target]).reverse(), + automargin: true, + color: plotTheme.axis, + }, + legend: { orientation: "v", x: 1.02, y: 0.5 }, + annotations: targetBySourceAnnotations, + }} + config={{ responsive: true, displaylogo: false }} + style={{ width: "100%", height: "430px" }} + useResizeHandler + /> +
+ +
+
+ Verteilung je Tagebau + nach Kraftwerk / Veredlung, {monthLabel(activeMonth)} +
+ +
+
+ )} + {!monthlyFlowError && activeMonth && grandTotal <= 0 && ( +

Für den ausgewählten Monat sind keine Liefermengen vorhanden.

+ )} +
+ )} + + {(capacityData || capacityError) && ( +
+
+
+

Kapazitätsanalyse (Zeitreihen)

+

+ Nutzung vs. Kapazitätsgrenze für Förder-, Verlade- und Zugdurchlasskapazitäten. +

+
+
+ + {capacityError &&

{capacityError}

} + + {!capacityError && ( +
+ {[foerderPlot, verladungPlot, zugPlot].filter(Boolean).map((plot) => ( +
+
+ {plot.group.label} + + {plot.group.series.length > 1 ? "Serie auswählbar" : plot.series.label} + +
+ {plot.group.series.length > 1 && ( + + )} + +
+ ))} +
+ )} +
+ )} +
+
+ ); +} diff --git a/webapp/frontend/src/main.jsx b/webapp/frontend/src/main.jsx new file mode 100644 index 0000000..c893985 --- /dev/null +++ b/webapp/frontend/src/main.jsx @@ -0,0 +1,10 @@ +import React from "react"; +import { createRoot } from "react-dom/client"; +import App from "./App.jsx"; +import "./App.css"; + +createRoot(document.getElementById("root")).render( + + + +); diff --git a/webapp/frontend/vite.config.js b/webapp/frontend/vite.config.js new file mode 100644 index 0000000..a5152d7 --- /dev/null +++ b/webapp/frontend/vite.config.js @@ -0,0 +1,12 @@ +import { defineConfig } from "vite"; +import react from "@vitejs/plugin-react"; + +export default defineConfig({ + plugins: [react()], + server: { + port: 5173, + proxy: { + "/api": "http://localhost:8000", + }, + }, +});