alto NER visualization

qurator/sbb_ner/webapp/app.py

@@ -1,6 +1,6 @@
 import os
 import logging
-from flask import Flask, send_from_directory, redirect, jsonify, request
+from flask import Flask, send_from_directory, redirect, jsonify, request, send_file
 import pandas as pd
 from sqlite3 import Error
 import sqlite3
@@ -16,6 +16,11 @@ from pytorch_pretrained_bert.modeling import (CONFIG_NAME,
                                               BertConfig,
                                               BertForTokenClassification)
 
+from qurator.sbb.xml import get_entity_coordinates
+
+import io
+from PIL import Image, ImageDraw
+
 app = Flask(__name__)
 
 app.config.from_json('config.json' if not os.environ.get('CONFIG') else os.environ.get('CONFIG'))
@@ -207,6 +212,16 @@ def fulltext(ppn):
     df = digisam.get(ppn)
 
     if len(df) == 0:
+
+        df = digisam.get('PPN' + ppn)
+
+        if len(df) == 0:
+
+            if ppn.startswith('PPN'):
+                df = digisam.get(ppn[3:])
+
+            if len(df) == 0:
+
                 return 'bad request!', 400
 
     text = ''
@@ -323,6 +338,53 @@ def ner(model_id):
     return jsonify(output)
 
 
+def find_file(path, ppn, page, ending):
+
+    file = (8 - len(str(page))) * '0' + page
+
+    if os.path.exists("{}/{}/{}{}".format(path, ppn, file, ending)):
+        return "{}/{}/{}{}".format(path, ppn, file, ending)
+    elif os.path.exists("{}/PPN{}/{}{}".format(path, ppn, file, ending)):
+        return "{}/PPN{}/{}{}".format(path, ppn, file, ending)
+    elif ppn.startswith('PPN') and os.path.exists("{}/{}/{}{}".format(path, ppn[3:], file, ending)):
+        return "{}/{}/{}{}".format(path, ppn[3:], file, ending)
+    else:
+        return None
+
+
+@app.route('/image/<ppn>/<page>')
+def get_image(ppn, page):
+
+    image_file = find_file(app.config['IMAGE_PATH'], ppn, page, '.tif')
+
+    if image_file is None:
+        return 'bad request!', 400
+
+    img = Image.open(image_file)
+
+    img = img.convert('RGB')
+
+    alto_file = find_file(app.config['ALTO_PATH'], ppn, page, '.xml')
+
+    if alto_file is not None:
+
+        ner_coordinates, entity_map = get_entity_coordinates(alto_file, img)
+
+        draw = ImageDraw.Draw(img, 'RGBA')
+
+        for idx, row in ner_coordinates.iterrows():
+
+            draw.rectangle(xy=((row.x0, row.y0), (row.x1, row.y1)),
+                           fill=(255 if row.ner_id.startswith('PER') else 0,
+                                 255 if row.ner_id.startswith('LOC') else 0,
+                                 255 if row.ner_id.startswith('ORG') else 0, 50))
+    buffer = io.BytesIO()
+    img.save(buffer, "JPEG")
+    buffer.seek(0)
+
+    return send_file(buffer, mimetype='image/jpeg')
+
+
 @app.route('/<path:path>')
 def send_js(path):
     return send_from_directory('static', path)