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Add clickable reference badges and improve UI layout

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- Add clickable badges for backlinks and references that trigger query string searches
- Improve toggle checkbox layout with better styling
- Add description block styling with scrollable container
- Update results styling with bordered cards and shadows
- Add favicon support across pages
- Enhance .env loading with logging for debugging

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
knight
2025-11-05 14:56:43 -05:00
parent d8d2c5e34c
commit 14d37f23e4
7 changed files with 255 additions and 99 deletions
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76
search_app.py
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@@ -748,7 +748,9 @@ def create_app(config: AppConfig = CONFIG) -> Flask:
"secondary": bool(highlight_map.get("transcript_secondary_full")),
},
"internal_references_count": source.get("internal_references_count", 0),
"internal_references": source.get("internal_references", []),
"referenced_by_count": source.get("referenced_by_count", 0),
"referenced_by": source.get("referenced_by", []),
}
)
@@ -802,48 +804,50 @@ def create_app(config: AppConfig = CONFIG) -> Flask:
start = request.args.get("start", type=str)
end = request.args.get("end", type=str)
filters: List[Dict] = []
channel_filter = build_channel_filter(channels)
if channel_filter:
filters.append(channel_filter)
year_filter = build_year_filter(year)
if year_filter:
filters.append(year_filter)
def parse_flag(name: str, default: bool = True) -> bool:
value = request.args.get(name)
if value is None:
return default
lowered = value.lower()
return lowered not in {"0", "false", "no"}
use_exact = parse_flag("exact", True)
use_fuzzy = parse_flag("fuzzy", True)
use_phrase = parse_flag("phrase", True)
if use_query_string:
use_exact = use_fuzzy = use_phrase = False
search_payload = build_query_payload(
term,
channels=channels,
year=year,
sort="relevant",
use_exact=use_exact,
use_fuzzy=use_fuzzy,
use_phrase=use_phrase,
use_query_string=use_query_string,
)
query = search_payload.get("query", {"match_all": {}})
if start or end:
range_filter: Dict[str, Dict[str, Dict[str, str]]] = {"range": {"date": {}}}
if start:
range_filter["range"]["date"]["gte"] = start
if end:
range_filter["range"]["date"]["lte"] = end
filters.append(range_filter)
base_fields = ["title^3", "description^2", "transcript_full", "transcript_secondary_full"]
if use_query_string:
qs_query = term or "*"
must_clause: List[Dict[str, Any]] = [
{
"query_string": {
"query": qs_query,
"default_operator": "AND",
"fields": base_fields,
}
}
]
else:
must_clause = [
{
"multi_match": {
"query": term,
"fields": base_fields,
"type": "best_fields",
"operator": "and",
}
}
]
query: Dict[str, Any] = {"bool": {"must": must_clause}}
if filters:
query["bool"]["filter"] = filters
if "bool" in query:
bool_clause = query.setdefault("bool", {})
existing_filter = bool_clause.get("filter")
if existing_filter is None:
bool_clause["filter"] = [range_filter]
elif isinstance(existing_filter, list):
bool_clause["filter"].append(range_filter)
else:
bool_clause["filter"] = [existing_filter, range_filter]
elif query.get("match_all") is not None:
query = {"bool": {"filter": [range_filter]}}
else:
query = {"bool": {"must": [query], "filter": [range_filter]}}
histogram: Dict[str, Any] = {
"field": "date",