This is the front end of A Comprehensive Benchmark Suite for LLMs in Log Analysis (https://nkcs.iops.ai/LogEval/). The warehouse results are as follows.
old_proj/
static/
templates/
translations/
└── en/
└── LC_MESSAGES/
├── messages.mo
└── messages.po
app.py # Application entry point
babel.cfg # Multilingual configure
datasrc.py # Acquisition of variable resources
index.html # Website entry point
leaderboard.csv # Leaderboard data
messages.pot # Multilingual related
news.json # News data
requirements.txt # Requirements for running
submitted.csv # Submitted data from users
app.py
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Purpose: Main application entry point and Flask server controller
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Contents:
- Flask application initialization and configuration
- Route definitions for all website endpoints
- View functions that handle HTTP requests
- Template rendering with Jinja2
- Integration with other modules (datasrc.py, multilingual support)
- Server startup logic
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Key Features:
- Handles user requests and routes to appropriate views
- Integrates with Babel for internationalization
- Processes form submissions
index.html
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Purpose: Primary website entry point and landing page
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Contents:
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HTML structure with Jinja2 templating
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Navigation to different sections of the benchmark suite
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Overview of LogEval's purpose and capabilities
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Links to leaderboard, documentation, and submission areas
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Key Features:
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Serves as the root page of the application
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Provides quick access to all major sections
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datasrc.py
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Purpose: Data acquisition and resource management module
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Contents:
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Functions to read and process CSV/JSON data files
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Data transformation logic for presentation
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Integration with leaderboard.csv and submitted.csv
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Key Features:
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Abstracts data access from presentation logic
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Provides clean API for data retrieval
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leaderboard.csv
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Purpose: Storage for benchmark results and rankings
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Structure:
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Columns for model names, evaluation methods, evaluation metrics
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Categorization by task types
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Usage:
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Primary data source for the leaderboard display
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Updated with new evaluation results
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Read by datasrc.py and presented in templates
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submitted.csv
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Purpose: Repository for user-submitted demands
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Structure:
- Columns for submitter information, model details
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Usage:
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Stores all user demand
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Potential source for updating leaderboard.csv
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news.json
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Purpose: Storage for announcements and news
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Structure:
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JSON array of news items
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Each item contains title, scription, time, and link
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Usage:
- Powers the "News" section
babel.cfg
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Purpose: Configuration file for Babel localization
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Contents:
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File path patterns for string extraction
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Template parsing configurations
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Encoding settings
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Mapping between source files and translation domains
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Usage:
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Guides the Babel tool in extracting translatable strings
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Configures how Jinja2 templates are processed for i18n
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messages.pot
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Purpose: Translation template file (Portable Object Template)
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Contents:
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All extracted strings from source code and templates
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Source references for each translatable string
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Metadata about the translation project
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Usage:
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Base file for creating language-specific .po files
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Updated when new strings are added to the application
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translations/ Directory
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Purpose: Houses all multilingual resources
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Structure:
translations/
└── en/ # English language directory
└── LC_MESSAGES/ # Standard locale message directory
├── messages.mo # Compiled translation file
└── messages.po # Source translation file
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Files:
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messages.po
: Human-editable translation file containing source strings and their translations -
messages.mo
: Binary-compiled version used by the application at runtime
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static/
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Purpose: Storage for all static assets
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Contents:
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CSS files for styling (e.g., main.css, forms.css)
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Images (logos, diagrams, screenshots)
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Dataset files available for download
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Key Features:
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Served directly by Flask's static file handler
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Organized into subdirectories (css/, js/, images/, datasets/)
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templates/
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Purpose: Contains all Jinja2 HTML templates
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Structure:
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Base template (base.html) for common layout
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Page-specific templates (leaderboard.html, submit.html, results.html)
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Partial templates for reusable components
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Key Features:
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Implements Jinja2 template inheritance
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Contains dynamic content placeholders
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Integrates with Flask-Babel for translated content
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old_proj/
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Purpose: the basic and brief introduction of this benchmark suite.
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Contents:
- the basic and brief introduction of this benchmark suite.
requirements.txt
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Purpose: Lists all Python dependencies
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Contents:
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Flask and related extensions (Flask-Babel, Flask-WTF)
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Data processing libraries (pandas, numpy)
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CSV/JSON handling libraries
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Deployment dependencies
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Usage:
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Used with
pip install -r requirements.txt
to set up environment -
Ensures consistent dependencies across deployments
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