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All services: admin-v2, studio-v2, website, ai-compliance-sdk, consent-service, klausur-service, voice-service, and infrastructure. Large PDFs and compiled binaries excluded via .gitignore.
298 lines
8.1 KiB
Python
298 lines
8.1 KiB
Python
from pathlib import Path
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from typing import List
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from fastapi import FastAPI, UploadFile, File
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from fastapi.responses import HTMLResponse
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import shutil
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from ai_processor import (
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dummy_process_scan,
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describe_scan_with_ai,
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analyze_scan_structure_with_ai,
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build_clean_html_from_analysis,
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remove_handwriting_from_scan, # B: Handschriftentfernung (muss in ai_processor.py existieren)
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)
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app = FastAPI()
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BASE_DIR = Path.home() / "Arbeitsblaetter"
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EINGANG_DIR = BASE_DIR / "Eingang"
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BEREINIGT_DIR = BASE_DIR / "Bereinigt"
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EDITIERBAR_DIR = BASE_DIR / "Editierbar"
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NEU_GENERIERT_DIR = BASE_DIR / "Neu_generiert"
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VALID_SUFFIXES = {".jpg", ".jpeg", ".png", ".pdf", ".JPG", ".JPEG", ".PNG", ".PDF"}
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for d in [EINGANG_DIR, BEREINIGT_DIR, EDITIERBAR_DIR, NEU_GENERIERT_DIR]:
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d.mkdir(parents=True, exist_ok=True)
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def is_valid_input_file(path: Path) -> bool:
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return path.is_file() and not path.name.startswith(".") and path.suffix in VALID_SUFFIXES
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@app.get("/")
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def home():
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return {
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"status": "OK",
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"message": "Deine lokale App läuft!",
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"base_dir": str(BASE_DIR),
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}
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# --- Upload-Bereich ---
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@app.post("/upload-scan")
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async def upload_scan(file: UploadFile = File(...)):
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"""
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Einfache Variante: eine einzelne Datei hochladen.
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"""
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target_path = EINGANG_DIR / file.filename
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with target_path.open("wb") as buffer:
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shutil.copyfileobj(file.file, buffer)
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return {
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"status": "OK",
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"message": "Scan gespeichert",
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"saved_as": str(target_path),
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}
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@app.get("/upload-form", response_class=HTMLResponse)
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def upload_form():
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"""
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Einfache HTML-Seite für Upload mehrerer Dateien.
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Kann z.B. vom Handy unter http://DEINE-IP:8000/upload-form aufgerufen werden.
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"""
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return """
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<!DOCTYPE html>
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<html lang="de">
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<head>
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<meta charset="UTF-8">
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<title>Arbeitsblätter hochladen</title>
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<style>
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body { font-family: system-ui, -apple-system, BlinkMacSystemFont, sans-serif; margin: 40px; }
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h1 { font-size: 22px; margin-bottom: 12px; }
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.box { padding: 16px; border: 1px solid #ccc; border-radius: 8px; max-width: 480px; }
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button { margin-top: 12px; padding: 8px 16px; font-size: 16px; }
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input[type=file] { margin-top: 8px; }
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</style>
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</head>
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<body>
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<h1>Arbeitsblätter hochladen</h1>
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<div class="box">
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<p>Wähle ein oder mehrere eingescannt Arbeitsblätter (JPG/PNG/PDF) aus und lade sie hoch.</p>
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<form action="/upload-multi" method="post" enctype="multipart/form-data">
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<input type="file" name="files" multiple required>
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<br>
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<button type="submit">Hochladen</button>
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</form>
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</div>
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</body>
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</html>
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"""
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@app.post("/upload-multi")
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async def upload_multi(files: List[UploadFile] = File(...)):
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"""
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Mehrere Dateien auf einmal hochladen.
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Alle Dateien werden im Eingang-Ordner gespeichert.
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"""
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saved = []
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for file in files:
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target_path = EINGANG_DIR / file.filename
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with target_path.open("wb") as buffer:
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shutil.copyfileobj(file.file, buffer)
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saved.append(str(target_path))
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return {
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"status": "OK",
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"message": "Dateien gespeichert",
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"saved_as": saved,
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}
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# --- Dateiliste ---
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@app.get("/eingang-dateien")
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def list_eingang_files():
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files = [f.name for f in EINGANG_DIR.iterdir() if is_valid_input_file(f)]
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return {"eingang": files}
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# --- B: Dummy- und Handschrift-Verarbeitung ---
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@app.post("/process-all")
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def process_all_scans():
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processed = []
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skipped = []
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for f in EINGANG_DIR.iterdir():
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if is_valid_input_file(f):
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result_path = dummy_process_scan(f)
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processed.append(result_path.name)
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else:
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skipped.append(f.name)
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return {
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"status": "OK",
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"message": "Dummy-Verarbeitung abgeschlossen",
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"processed_files": processed,
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"skipped": skipped,
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}
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@app.post("/remove-handwriting-all")
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def remove_handwriting_all():
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"""
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Entfernt bei allen geeigneten Bilddateien im Eingang-Ordner möglichst die Handschrift
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und legt bereinigte Bilder im Bereinigt-Ordner ab.
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"""
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cleaned = []
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errors = []
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skipped = []
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for f in EINGANG_DIR.iterdir():
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if not is_valid_input_file(f):
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skipped.append(f.name)
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continue
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# Nur JPG/PNG für die Bild-Handschriftentfernung
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if f.suffix.lower() not in {".jpg", ".jpeg", ".png"}:
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skipped.append(f.name)
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continue
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try:
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out_path = remove_handwriting_from_scan(f)
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cleaned.append(out_path.name)
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except Exception as e:
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errors.append({"file": f.name, "error": str(e)})
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status = "OK"
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message = "Bereinigte Bilder erzeugt."
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if errors and not cleaned:
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status = "ERROR"
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message = "Keine bereinigten Bilder erzeugt, nur Fehler."
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elif errors and cleaned:
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status = "PARTIAL"
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message = "Einige bereinigte Bilder erzeugt, aber auch Fehler."
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return {
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"status": status,
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"message": message,
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"cleaned": cleaned,
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"errors": errors,
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"skipped": skipped,
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}
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# --- Beschreiben / Analysieren / Clean-HTML ---
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@app.post("/describe-all")
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def describe_all_scans():
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described = []
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errors = []
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skipped = []
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for f in EINGANG_DIR.iterdir():
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if not is_valid_input_file(f):
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skipped.append(f.name)
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continue
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try:
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out_path = describe_scan_with_ai(f)
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described.append(out_path.name)
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except Exception as e:
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errors.append({"file": f.name, "error": str(e)})
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status = "OK"
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message = "Beschreibungen erstellt"
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if errors and not described:
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status = "ERROR"
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message = "Keine Beschreibungen erstellt, nur Fehler."
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elif errors and described:
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status = "PARTIAL"
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message = "Einige Beschreibungen erstellt, aber auch Fehler."
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return {
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"status": status,
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"message": message,
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"described": described,
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"errors": errors,
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"skipped": skipped,
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}
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@app.post("/analyze-all")
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def analyze_all_scans():
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analyzed = []
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errors = []
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skipped = []
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for f in EINGANG_DIR.iterdir():
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if not is_valid_input_file(f):
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skipped.append(f.name)
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continue
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try:
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out_path = analyze_scan_structure_with_ai(f)
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analyzed.append(out_path.name)
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except Exception as e:
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errors.append({"file": f.name, "error": str(e)})
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status = "OK"
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message = "Analysen erstellt"
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if errors and not analyzed:
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status = "ERROR"
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message = "Keine Analysen erstellt, nur Fehler."
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elif errors and analyzed:
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status = "PARTIAL"
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message = "Einige Analysen erstellt, aber auch Fehler."
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return {
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"status": status,
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"message": message,
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"analyzed": analyzed,
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"errors": errors,
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"skipped": skipped,
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}
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@app.post("/generate-clean")
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def generate_clean_worksheets():
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"""
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Nimmt alle *_analyse.json-Dateien und erzeugt *_clean.html-Arbeitsblätter.
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"""
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generated = []
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errors = []
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for f in BEREINIGT_DIR.iterdir():
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if f.is_file() and f.suffix == ".json" and f.name.endswith("_analyse.json"):
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try:
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out_path = build_clean_html_from_analysis(f)
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generated.append(out_path.name)
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except Exception as e:
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errors.append({"file": f.name, "error": str(e)})
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status = "OK"
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message = "Clean-HTML-Arbeitsblätter erzeugt"
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if errors and not generated:
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status = "ERROR"
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message = "Keine HTML-Arbeitsblätter erzeugt, nur Fehler."
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elif errors and generated:
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status = "PARTIAL"
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message = "Einige HTML-Arbeitsblätter erzeugt, aber auch Fehler."
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return {
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"status": status,
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"message": message,
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"generated": generated,
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"errors": errors,
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}
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@app.get("/bereinigt-dateien")
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def list_bereinigt_files():
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files = [f.name for f in BEREINIGT_DIR.iterdir() if f.is_file()]
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return {"bereinigt": files}
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