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  • Add standards_registry.py with full Gradio UI
  • Add interactive data tables with horizontal scrolling
  • Add search functionality across standards
  • Add .gitignore for Python project
  • Update README with web interface documentation
  • Update pyproject.toml configuration

- Add standards_registry.py with full Gradio UI
- Add interactive data tables with horizontal scrolling
- Add search functionality across standards
- Add .gitignore for Python project
- Update README with web interface documentation
- Update pyproject.toml configuration
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Pull Request Overview

This PR adds a Gradio-based web interface for browsing and interacting with the standards registry, along with supporting configuration files and documentation updates.

  • Introduces a complete web UI with browse, search, and data viewing capabilities
  • Adds Python project configuration with dependency management
  • Updates documentation to include web interface usage instructions

Reviewed Changes

Copilot reviewed 3 out of 5 changed files in this pull request and generated 19 comments.

File Description
standards_registry.py New Gradio web application providing interactive UI for browsing, searching, and viewing standards with data tables and statistics
pyproject.toml Project configuration file defining dependencies (Gradio, PyYAML, watchdog) and build settings
README.md Documentation updated with web interface installation, usage instructions, and architecture overview
.gitignore Standard Python gitignore patterns added for virtual environments, build artifacts, IDE files, and Gradio-specific directories

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Comment on lines +169 to +171
for std in standards:
stats = registry.get_statistics(std.id)
total_records += stats.get("total_records", 0)
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The registry overview loads and processes statistics for all standards sequentially within the loop. This can be inefficient if the registry contains many standards with large datasets. Consider caching statistics or loading them in parallel to improve performance:

stats = registry.get_statistics(std.id)
if stats:  # Only proceed if stats exist
    total_records += stats.get("total_records", 0)

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Comment on lines +275 to +287
return []

data = registry.load_standard_data(standard_id)
if not data:
return []

records = registry._get_data_records(data)
if not records or not records[0]:
return []

fields = list(records[0].keys())
if not fields:
return []
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The function get_all_records_table returns an empty list [] for both error cases and when there are truly no records. This makes it impossible for callers to distinguish between different failure modes. Consider returning None for errors or raising exceptions:

def get_all_records_table(standard_id: str, registry: StandardsRegistry):
    if not standard_id:
        return None  # Or raise ValueError("standard_id is required")
    # ... rest of the function
Suggested change
return []
data = registry.load_standard_data(standard_id)
if not data:
return []
records = registry._get_data_records(data)
if not records or not records[0]:
return []
fields = list(records[0].keys())
if not fields:
return []
return None
data = registry.load_standard_data(standard_id)
if not data:
return None
records = registry._get_data_records(data)
if not records or not records[0]:
return None
fields = list(records[0].keys())
if not fields:
return None

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Comment on lines +63 to +66
path_parts = standard.path.split("/")
filename = path_parts[-1]
dir_path = "/".join(path_parts[:-1])

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The path parsing logic using string split/join operations is fragile and platform-dependent. Since standard.path is already being handled as a Path object on line 62, use Path operations consistently:

data_path = self.registry_path / standard.path
dir_path = data_path.parent
filename = data_path.name
Suggested change
path_parts = standard.path.split("/")
filename = path_parts[-1]
dir_path = "/".join(path_parts[:-1])
filename = data_path.name
dir_path = data_path.parent.relative_to(self.registry_path)

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Comment on lines +45 to +50
Or using `pip`:

```bash
pip install -r requirements.txt
```

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The README references requirements.txt in the installation instructions, but this file doesn't exist in the repository. Since the project uses pyproject.toml for dependency management, either create a requirements.txt file or update the documentation to only mention uv and the pyproject.toml approach.

Suggested change
Or using `pip`:
```bash
pip install -r requirements.txt
```

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outputs=[data_table, table_status, table_info]
)
table_standard_dropdown.change(
fn=lambda sid: ("<div class='table-container'><p>Select a standard and click 'Load Table' to view data.</p></div>", f"### Data Table\n\nSelected: {registry.get_standard(sid).title if sid else 'None'}. Click 'Load Table' to view data.", ""),
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Potential AttributeError when sid is provided but registry.get_standard(sid) returns None. The lambda attempts to access .title on a potentially None value. Add a safety check:

fn=lambda sid: ("<div class='table-container'><p>Select a standard and click 'Load Table' to view data.</p></div>", 
                f"### Data Table\n\nSelected: {registry.get_standard(sid).title if sid and registry.get_standard(sid) else 'None'}. Click 'Load Table' to view data.", ""),
Suggested change
fn=lambda sid: ("<div class='table-container'><p>Select a standard and click 'Load Table' to view data.</p></div>", f"### Data Table\n\nSelected: {registry.get_standard(sid).title if sid else 'None'}. Click 'Load Table' to view data.", ""),
fn=lambda sid: (
"<div class='table-container'><p>Select a standard and click 'Load Table' to view data.</p></div>",
f"### Data Table\n\nSelected: {(registry.get_standard(sid).title if sid and registry.get_standard(sid) is not None else 'None')}. Click 'Load Table' to view data.",
""
),

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if std.tags:
tags_str = ", ".join(f"`{tag}`" for tag in std.tags)
overview += f"**Tags:** {tags_str}\n"
overview += f"**Description:** {std.description[:150]}...\n\n"
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The ellipsis ... is always added regardless of the description length. This results in unnecessary ellipsis for descriptions shorter than 150 characters. Consider adding it conditionally:

desc = std.description[:150]
overview += f"**Description:** {desc}{'...' if len(std.description) > 150 else ''}\n\n"
Suggested change
overview += f"**Description:** {std.description[:150]}...\n\n"
desc = std.description[:150]
overview += f"**Description:** {desc}{'...' if len(std.description) > 150 else ''}\n\n"

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signal.signal(signal.SIGINT, signal_handler)

try:
app.launch(share=False, server_name="0.0.0.0", server_port=7860)
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The server is configured to bind to all network interfaces (0.0.0.0), making it accessible from any network. This could expose the application to unauthorized access if deployed on a shared network or server. Consider:

  1. Using 127.0.0.1 for local-only access by default
  2. Adding authentication via Gradio's auth parameter
  3. Documenting security considerations in the README

Example:

app.launch(share=False, server_name="127.0.0.1", server_port=7860)
Suggested change
app.launch(share=False, server_name="0.0.0.0", server_port=7860)
app.launch(share=False, server_name="127.0.0.1", server_port=7860)

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return []

query_lower = query.lower()
return [r for r in records if query_lower in " ".join(str(v) for v in r.values() if v).lower()]
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The search implementation converts all record values to strings and concatenates them for each record on every search, which is inefficient for large datasets. Consider one of these optimizations:

  1. Pre-build a search index when data is loaded
  2. Use more efficient string matching algorithms
  3. Add pagination to limit the number of records processed

Example:

query_lower = query.lower()
results = []
for r in records:
    record_text = " ".join(str(v) for v in r.values() if v).lower()
    if query_lower in record_text:
        results.append(r)
    if len(results) >= 1000:  # Limit results for performance
        break
return results

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elif isinstance(value, str):
row.append(value.strip() or "—")
elif isinstance(value, (int, float)):
row.append(f"{value:,}" if isinstance(value, int) else f"{value:.2f}")
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The number formatting for integers uses a comma separator but doesn't account for locale. While this works for English locales, it may not be appropriate for all regions. Consider using the locale module or document this behavior. Additionally, the float formatting always shows 2 decimal places, which may not be appropriate for all numeric data.

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vertical-align: top !important;
}
.data-table th {
background-color: #374151 !important;
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The table header background color #374151 (dark gray) with white text may not provide sufficient contrast for users with visual impairments. Consider using a darker background or ensuring the contrast ratio meets WCAG AA standards (minimum 4.5:1 for normal text). You can verify contrast at https://webaim.org/resources/contrastchecker/

Suggested change
background-color: #374151 !important;
background-color: #1f2937 !important;

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@eswarchandravidyasagar eswarchandravidyasagar marked this pull request as draft November 14, 2025 14:40
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2 participants