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import os
import io
import requests
from lxml import etree
from converter import ModsConverter
from urllib.parse import quote, unquote
st.set_page_config(
page_title="PubTypeConverter | DORA Tools",
page_icon="π",
layout="wide",
initial_sidebar_state="collapsed"
)
# Custom CSS for a modern, premium look
st.markdown("""
<style>
@import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&display=swap');
html, body, [class*="css"] {
font-family: 'Inter', sans-serif;
}
.stApp {
background: linear-gradient(135deg, #f8f9fa 0%, #e9ecef 100%);
}
/* Premium Header */
.title-container {
padding: 2rem 0;
text-align: center;
background: rgba(255, 255, 255, 0.4);
backdrop-filter: blur(10px);
border-radius: 20px;
margin-bottom: 2rem;
border: 1px solid rgba(255, 255, 255, 0.5);
box-shadow: 0 8px 32px 0 rgba(31, 38, 135, 0.07);
}
.main-title {
font-size: 3rem;
font-weight: 700;
background: linear-gradient(90deg, #1e3a8a, #3b82f6);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
margin-bottom: 0.5rem;
}
.sub-title {
color: #64748b;
font-size: 1.1rem;
}
/* Section Styling */
.stSelectbox, .stTextInput, .stButton {
margin-bottom: 1rem;
}
/* Card-like containers for results */
.result-card {
background: white;
padding: 1.5rem;
border-radius: 15px;
box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1);
margin-bottom: 1.5rem;
border-left: 5px solid #3b82f6;
}
/* Step indicators */
.step-header {
font-weight: 600;
color: #1e293b;
margin-bottom: 1rem;
display: flex;
align-items: center;
gap: 0.5rem;
}
.step-number {
background: #3b82f6;
color: white;
width: 24px;
height: 24px;
border-radius: 50%;
display: flex;
align-items: center;
justify-content: center;
font-size: 0.8rem;
}
</style>
<div class="title-container">
<div class="main-title">DORA PubTypeConverter</div>
<div class="sub-title">DORA Publication Type Transformation Helper</div>
</div>
""", unsafe_allow_html=True)
# Setup paths
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
RESOURCE_DIR = os.path.join(BASE_DIR, "PubTypeConverter_resources")
TEMPLATE_DIR = os.path.join(RESOURCE_DIR, "PubTypeConverter_templates")
CONFIG_FILE = os.path.join(RESOURCE_DIR, "PubTypeConverterConfig.xml")
# Initialize Session State
if 'converter' not in st.session_state:
converter = ModsConverter()
if os.path.exists(CONFIG_FILE):
converter.load_config(CONFIG_FILE)
else:
st.warning(f"Configuration file not found at {CONFIG_FILE}. Content moving rules will not be applied.")
st.session_state.converter = converter
if 'loaded_files' not in st.session_state:
st.session_state.loaded_files = [] # List of dicts: {'name': str, 'content': bytes}
# Load templates
templates = []
if os.path.exists(TEMPLATE_DIR):
for f in os.listdir(TEMPLATE_DIR):
if f.lower().endswith(".xml"):
templates.append(f)
else:
st.error(f"Template directory not found: {TEMPLATE_DIR}")
templates.sort()
# Helper function to fetch from DORA
def fetch_from_dora(pid_or_url, repo):
url = pid_or_url.strip()
# Handle double-encoded PIDs (e.g. psi%253A84411 -> psi%3A84411 -> psi:84411)
# We unquote until the string stabilizes
prev = None
while url != prev:
prev = url
url = unquote(url)
fallback_www = None
fallback_oai = None
if not url.startswith("http"):
# Construct URL from PID
# Assume PID format like "psi:12345" or just "12345"
if ":" in url:
parts = url.split(":")
repo_prefix = parts[0].lower()
# Force prefix to lowercase for repo mapping
pid_val = f"{repo_prefix}:{parts[1]}"
repo = repo_prefix
else:
# Use selected repo
pid_val = f"{repo}:{url}"
# URL Encode the PID part - essential for Islandora
quoted_pid = quote(pid_val)
# Primary: Admin (Intranet, preferred)
url = f"https://admin.dora.lib4ri.ch/{repo}/islandora/object/{quoted_pid}/datastream/MODS/view"
# Fallback 1: WWW (Public mirror)
fallback_www = f"https://www.dora.lib4ri.ch/{repo}/islandora/object/{quoted_pid}/datastream/MODS/view"
# Fallback 2: OAI-PMH (Robust Public Access)
# Use quoted PID for identifier to be safe (suggested by user example)
fallback_oai = f"https://www.dora.lib4ri.ch/{repo}/oai2/request?verb=GetRecord&metadataPrefix=mods&identifier={quoted_pid}"
headers = {'User-Agent': 'curl/7.68.0'}
# helper to check OAI response for valid content
def check_oai_response(content):
try:
root = etree.fromstring(content)
# Check for OAI error code
if root.xpath(".//*[local-name()='error']"):
return False
# Ultimate robust search: find first 'mods' element regardless of namespace/prefix
mods_nodes = root.xpath(".//*[local-name()='mods']")
if mods_nodes:
return etree.tostring(mods_nodes[0], encoding='utf-8')
except:
pass
return None
try:
# Try primary URL
response = requests.get(url, headers=headers, timeout=10)
response.raise_for_status()
return response.content, url
except Exception as e:
status_errors = [f"Admin: {e}"]
# Try Fallback 1: WWW
if fallback_www:
try:
response = requests.get(fallback_www, headers=headers, timeout=10)
response.raise_for_status()
return response.content, fallback_www
except Exception as e2:
status_errors.append(f"WWW: {e2}")
# Try Fallback 2: OAI-PMH
if fallback_oai:
try:
response = requests.get(fallback_oai, headers=headers, timeout=10)
if response.status_code == 200:
mods_content = check_oai_response(response.content)
if mods_content:
return mods_content, fallback_oai
else:
status_errors.append("OAI: Valid HTTP but no MODS found in response")
else:
status_errors.append(f"OAI: HTTP {response.status_code}")
except Exception as e3:
status_errors.append(f"OAI: {e3}")
return None, f"Failed to fetch. Details: {'; '.join(status_errors)}"
# UI Layout
main_col1, main_col2 = st.columns([0.6, 0.4], gap="large")
with main_col1:
st.markdown('<div class="step-header"><div class="step-number">1</div><span>Select Source Data</span></div>', unsafe_allow_html=True)
input_tab1, input_tab2 = st.tabs(["π Pull from DORA", "π Upload Local XML"])
with input_tab1:
dora_col1, dora_col2 = st.columns([0.7, 0.3])
dora_input = dora_col1.text_input("PID or URL", placeholder="e.g. psi:84411", label_visibility="collapsed")
repo_select = dora_col2.selectbox("Repo", ["psi", "eawag", "empa", "wsl"], label_visibility="collapsed")
if st.button("Fetch and Load Record", use_container_width=True):
if dora_input:
with st.spinner("Retrieving from DORA..."):
content, error_or_url = fetch_from_dora(dora_input, repo_select)
if content:
filename = dora_input.replace(":", "_").replace("/", "_") + ".xml"
if filename.startswith("http"): filename = "dora_record.xml"
st.session_state.loaded_files.append({"name": filename, "content": content, "source": error_or_url})
st.toast(f"Loaded {filename}", icon="β
")
else:
st.error(f"Fetch failed: {error_or_url}")
else:
st.warning("Please provide a identifier first.")
with input_tab2:
uploaded_files = st.file_uploader("Upload MODS XML files", type=['xml'], accept_multiple_files=True, label_visibility="collapsed")
# Display loaded files in a modern list
if st.session_state.loaded_files:
st.markdown("### Loaded Documents")
for i, file_data in enumerate(st.session_state.loaded_files):
with st.container():
f_col1, f_col2 = st.columns([0.85, 0.15])
f_col1.markdown(f"π **{file_data['name']}**")
if f_col2.button("ποΈ", key=f"remove_{i}", help="Remove this file"):
st.session_state.loaded_files.pop(i)
st.rerun()
with main_col2:
st.markdown('<div class="step-header"><div class="step-number">2</div><span>Target Format</span></div>', unsafe_allow_html=True)
selected_template = st.selectbox("Choose the destination publication type", templates if templates else ["No templates found"], label_visibility="collapsed")
st.markdown("---")
if st.button("π Start Conversion", disabled=not (uploaded_files or st.session_state.loaded_files) or not templates, use_container_width=True, type="primary"):
st.session_state.start_convert = True
else:
st.session_state.start_convert = False
# Combine sources
all_files = []
if uploaded_files:
for f in uploaded_files:
all_files.append({"name": f.name, "content": f.getvalue()})
if st.session_state.loaded_files:
all_files.extend(st.session_state.loaded_files)
if st.session_state.get("start_convert"):
st.markdown('<div class="step-header"><div class="step-number">3</div><span>Conversion Reports</span></div>', unsafe_allow_html=True)
for file_data in all_files:
content = file_data['content']
filename = file_data['name']
# Try to decode if bytes, though lxml can parse bytes directly
# But we pass string/bytes/path to converter
template_path = os.path.join(TEMPLATE_DIR, selected_template)
try:
# result_xml is the XML string, log is the structured data dict
result_xml, log_data = st.session_state.converter.convert(content, template_path)
with st.container():
st.markdown(f"""
<div class="result-card">
<div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 1rem;">
<span style="font-weight: 700; font-size: 1.2rem; color: #1e3a8a;">{filename}</span>
<span style="background: #dbeafe; color: #1e40af; padding: 0.2rem 0.8rem; border-radius: 999px; font-size: 0.8rem; font-weight: 600;">TRANSFORMED</span>
</div>
<div style="display: flex; align-items: center; gap: 1rem; margin-bottom: 1.5rem;">
<span style="background: #f1f5f9; padding: 0.4rem 1rem; border-radius: 8px; font-size: 0.9rem; border: 1px solid #e2e8f0;">{log_data['old_genre']}</span>
<span style="color: #94a3b8;">β‘οΈ</span>
<span style="background: #ecfdf5; color: #065f46; padding: 0.4rem 1rem; border-radius: 8px; font-size: 0.9rem; border: 1px solid #d1fae5; font-weight: 600;">{log_data['new_genre']}</span>
</div>
""", unsafe_allow_html=True)
s_col1, s_col2, s_col3 = st.columns(3)
s_col1.metric("Transfers", len(log_data["moves"]))
s_col2.metric("Additions", len(log_data["additions"]))
s_col3.metric("Removals", len(log_data["deletions"]))
with st.expander("Audit Transformation Details", expanded=False):
if log_data["moves"]:
st.write("**π Content Transfers**")
for m in log_data["moves"]:
st.caption(f"β’ {m['summary']}")
if log_data["additions"]:
st.write("**β¨ Smart Additions**")
for a in log_data["additions"]:
st.caption(f"β’ {a['summary']}")
if log_data["deletions"]:
st.write("**ποΈ Legacy Cleanup**")
del_labels = [d['label'] for d in log_data["deletions"]]
st.caption(f"Removed {len(del_labels)} unused fields: " + ", ".join(del_labels[:8]) + ("..." if len(del_labels) > 8 else ""))
if log_data["warnings"]:
for w in log_data["warnings"]:
st.warning(w)
if result_xml:
st.download_button(
label=f"β¬οΈ Download {filename}",
data=result_xml,
file_name=f"{os.path.splitext(filename)[0]}_converted.xml",
mime="application/xml",
key=f"dl_{filename}",
use_container_width=True
)
st.markdown('</div>', unsafe_allow_html=True)
except Exception as e:
st.error(f"Error converting {filename}: {e}")
import traceback
st.code(traceback.format_exc())
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