scrape codex

1 files changed, 106 insertions, 0 deletions

diff --git a/scrape-codex.py b/scrape-codex.py
new file mode 100644
index 0000000..6e3cb55
--- /dev/null
+++ b/scrape-codex.py
@@ -0,0 +1,106 @@
+#!python
+
+from multiprocessing import Pool
+import os
+import requests
+import time
+from PIL import Image
+
+TAG = 'arundel_ms_263'
+LAST_PAGE = 283
+
+ZOOM = 11
+TILE_W = 4
+TILE_H = 3
+
+# ZOOM = 13
+# TILE_W = 16
+# TILE_H = 12
+
+# ZOOM = 14
+# TILE_W = 33
+# TILE_H = 24
+
+headers = {
+  'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.77 Safari/537.36',
+}
+
+def fetch_file(url, fn, **kwargs):
+  try:
+    resp = requests.get(url, params=kwargs, headers=headers, verify=False)
+    if resp.status_code != 200:
+      return None
+  except:
+    return None
+  size = 0
+  if os.path.exists(fn):
+    return
+  with open(fn, 'wb') as f:
+    for chunk in resp.iter_content(chunk_size=1024):
+      if chunk:
+        size += len(chunk)
+        f.write(chunk)
+  print("{} kb. {}".format(round(size / 1024), fn))
+  return None
+
+# Run this with a pool of 5 agents having a chunksize of 3 until finished
+def parallel_fetch(dataset):
+  print("Fetching {} tiles".format(len(dataset)))
+  agents = 5
+  chunksize = 3
+  with Pool(processes=agents) as pool:
+    pool.starmap(fetch_file, dataset, chunksize)
+
+# Fetch all the tiles from a tile server and then compose them into a single image
+def grab(s, n):
+  page = "{:03d}{}".format(n, s)
+  print("Fetching {}...".format(page))
+  os.makedirs("./{}/{}/{}".format(TAG, ZOOM, page), exist_ok=True)
+  dataset = []
+  for i in range(0, TILE_W + 1):
+    for j in range(0, TILE_H + 1):
+      url = "http://www.bl.uk/manuscripts/Proxy.ashx?view={}_f{}_files/{}/{}_{}.jpg".format(TAG, page, ZOOM, i, j)
+      fn = "./{}/{}/{}/{}_{}.jpg".format(TAG, ZOOM, page, i, j)
+      if not os.path.exists(fn):
+        dataset.append((url, fn,))
+
+  # Fetch all the images we don't have
+  if len(dataset):
+    parallel_fetch(dataset)
+
+  # Get the dimensions of the final image (interior plus corners)
+  ww = 258 * (TILE_W - 1)
+  hh = 258 * (TILE_H - 1)
+
+  fn = "./{}/{}/{}/{}_{}.jpg".format(TAG, ZOOM, page, 0, 0)
+  image = Image.open(fn)
+  width, height = image.size
+  ww += width
+  hh += height
+
+  fn = "./{}/{}/{}/{}_{}.jpg".format(TAG, ZOOM, page, TILE_W, TILE_H)
+  image = Image.open(fn)
+  width, height = image.size
+  ww += width
+  hh += height
+
+  # Build the new canvas by pasting the tiles across it
+  canvas = Image.new('RGB', (ww, hh,))
+  x = 0
+  for i in range(0, TILE_W + 1):
+    y = 0
+    for j in range(0, TILE_H + 1):
+      fn = "./{}/{}/{}/{}_{}.jpg".format(TAG, ZOOM, page, i, j)
+      image = Image.open(fn)
+      width, height = image.size
+      canvas.paste(image, (x, y))
+      y += height
+    x += width
+  canvas.save("./{}/{}/{}_{}.jpg".format(TAG, ZOOM, page, ZOOM))
+
+if __name__ == '__main__':
+  os.makedirs("{}/{}".format(TAG, ZOOM), exist_ok=True)
+  for n in range(1, LAST_PAGE + 1):
+    grab('v', n)
+    grab('r', n)
+