gpt4free/etc/tool/md2html.py
kqlio67 15d8318ab7
feat: Add dev tools, reorganize providers, and expand model support (#3019)
* feat: add repository path support and new md2html converter tool

- Add `--repo` argument to commit.py for specifying git repository path with validation
- Add `validate_git_repository()` function to check repository existence and git status
- Add `get_repository_info()` function to extract branch and remote information
- Update `get_git_diff()` and `make_commit()` functions to accept repository path parameter
- Add Path import and repository validation in main workflow
- Enhance error messages with repository-specific guidance and context
- Update argument parser description and help text for new repository functionality
- Expand module docstring with comprehensive usage examples and feature descriptions
- Add new md2html.py tool for converting Markdown files to HTML using GitHub API
- Add template.html file with GitHub-styled CSS and responsive design
- Implement batch processing, retry logic, and rate limit handling in md2html converter
- Add comprehensive command-line interface with directory processing and custom output options

* refactor: Update provider configurations and model handling

- Removed Dynaspark provider entirely by deleting `g4f/Provider/Dynaspark.py`
- Deprecated DDG provider by moving to `not_working` directory and updating imports
- Restructured HuggingFace and MiniMax providers into `needs_auth` subpackage:
  - Moved all HuggingFace provider files to `needs_auth/hf/`
    - Moved MiniMax providers to `needs_auth/mini_max/`
    - Updated ARTA provider:
      - Expanded `model_aliases` with new tattoo styles and added aliases
        - Added `get_model()` method for model resolution with list support
        - Simplified Blackbox provider:
          - Removed openrouter models and agentMode configurations
            - Reduced model lists to core GPT variants
              - Set session/subscriptionCache to None in payload
              - Added model resolution to Gemini providers:
                - Implemented `get_model()` in Gemini.py and GeminiPro.py
                  - Added alias handling with list support
                  - Updated model definitions in `g4f/models.py`:
                    - Removed references to Dynaspark and DDG providers
                      - Added new SDXL image models with ARTA provider
                        - Adjusted best_provider assignments across multiple models
                        - Removed Dynaspark/DDG references from provider imports and AnyProvider
                        - Added DDG to not_working providers in `__init__.py`

* feat: Add new models to DeepInfraChat, LambdaChat, and models

- Add 'deepseek-ai/DeepSeek-R1-0528' model to DeepInfraChat provider's models list
- Include alias 'deepseek-r1-0528' for DeepSeek-R1-0528 in DeepInfraChat's model_aliases
- Add 'apriel-5b-instruct' model to LambdaChat provider's models list
- Define new 'deepseek-r1-0528' model in models.py with DeepSeek base provider and DeepInfraChat as best provider

* refactor: simplify model registry and add validation

- Remove unused imports: sys, inspect, Set, Type
- Remove ModelRegistry._discovered flag and automatic discovery mechanism
- Add ModelRegistry.clear() method for resetting registry state
- Implement ModelRegistry.list_models_by_provider() for provider-based filtering
- Add ModelRegistry.validate_all_models() for configuration checks
- Remove Model._registered field and simplify registration logic
- Fix gemma_3_12b model name from empty string to 'gemma-3-12b'
- Add image model section header in model definitions
- Replace ModelUtils.convert dict with dynamic property
- Remove ModelUtils.refresh() method
- Register 'gemini' alias directly in ModelRegistry after model creation
- Remove module-level model discovery and ModelUtils.convert initialization

* refactor: Replace ModelUtils.convert property with class variable

- Add class variable `convert` to `ModelUtils` initialized as empty dictionary
- Replace `@property convert` method with `refresh()` class method that updates `convert`
- Remove dynamic property returning `ModelRegistry.all_models()`
- Add module-level assignment to initialize `ModelUtils.convert` with `ModelRegistry.all_models()`
- Include comment for clarity on filling the convert dictionary

* refactor: Reorganize providers and update model configuration

- Removed unused providers from `g4f/Provider/__init__.py`: ChatGpt, Pi, Pizzagpt, PuterJS, You
- Moved LMArenaBeta provider to `needs_auth` directory with updated relative imports
- Moved Pi provider to `needs_auth` directory with updated relative imports
- Moved PuterJS provider to `needs_auth` directory with updated relative imports
- Moved You provider to `needs_auth` directory with updated relative imports
- Added LMArenaBeta, Pi, PuterJS, You to `needs_auth/__init__.py`
- Moved ChatGpt provider to `not_working` directory with updated relative imports
- Moved Pizzagpt provider to `not_working` directory with updated relative imports
- Added ChatGpt, Pizzagpt to `not_working/__init__.py`
- Updated `g4f/models.py` to remove Reka import and change reka_core model provider
- Changed reka_core model's best_provider from IterListProvider to LegacyLMArena in `g4f/models.py`

* feat: add Together provider and update model handling

- Add new provider `Together` in `g4f/Provider/Together.py` with model aliases and configuration
- Implement `get_activation_key` and `get_models` methods in `Together` provider
- Add `get_model` method to resolve aliases in `Together` and `DeepInfraChat`
- Update `DeepInfraChat` model mappings to support multiple versions
  - Change "deepseek-v3" to list with two model options
    - Change "deepseek-r1" to list with two model options
      - Remove duplicate "deepseek-v3" entry
        - Remove "mistral-small" alias
        - Remove "midjourney" from `PollinationsAI.extra_image_models`
        - Register `Together` provider in `g4f/Provider/__init__.py`
        - Update `g4f/models.py` with new providers and models
          - Add `Together` to default and default_vision provider lists
            - Add `Together` as provider for multiple existing models
              - Add new vision model `qwen_2_vl_72b`
                - Add new text models: `qwen_2_5_7b`, `deepseek_r1_distill_qwen_1_5b`, `deepseek_r1_distill_qwen_14b`
                  - Add new image models: `flux_redux`, `flux_depth`, `flux_canny`, `flux_kontext_max`, `flux_dev_lora`, `flux_kontext_pro`
                    - Remove `pi` model definition
                      - Update provider assignments for multiple models to include `Together`

* refactor: Remove LegacyLMArena provider and update model best_providers

- Remove LegacyLMArena import from Provider list in models.py
- Delete LegacyLMArena from default model's best_provider IterListProvider
- Remove multiple obsolete model definitions (gpt_3_5_turbo, gpt_4_turbo, phi_3_small, etc.) that exclusively used LegacyLMArena
- Update best_provider for all remaining models to remove LegacyLMArena from IterListProvider arguments
- Replace LegacyLMArena with alternative providers in model definitions (e.g., OpenaiChat, Together, DeepInfraChat)
- Simplify model definitions by removing redundant IterListProvider wrappers for single providers
- Expand provider imports in any_provider.py to include Blackboxapi, OIVSCodeSer2, etc.
- Extend provider list in AnyProvider with additional working providers for fallback support

* refactor: Remove Blackboxapi provider

- Deleted Blackboxapi provider implementation file
- Removed Blackboxapi import from provider __init__ file
- Updated default model configuration to exclude Blackboxapi provider
- Removed Blackboxapi from llama-3.1-70b model's best_provider
- Updated any_provider to exclude Blackboxapi from provider list

* fix: add missing parameters to Together.get_model method signature

- Add api_key and api_base parameters to get_model method in Together class
- Import random module at the top of the file
- Add inline import comment for random module inside get_model method

* fix: remove broken providers and update model configurations

- Remove non-working providers: ChatGLM, DocsBot, GizAI, OIVSCodeSer5
- Fix Blackbox provider by removing userSelectedModel logic
- Update DeepInfraChat default model to 'deepseek-ai/DeepSeek-V3-0324'
- Add random model selection for DeepInfraChat aliases
- Update LambdaChat default model to 'deepseek-v3-0324' and expand model list
- Fix LegacyLMArena model loading with better error handling and caching
- Add retry logic and timeouts to LegacyLMArena streaming responses
- Improve LegacyLMArena response parsing to handle various data formats
- Update model references across g4f/models.py to remove deleted providers
- Fix AnyProvider model categorization logic for better grouping
- Add LegacyLMArena and ARTA to special provider handling in AnyProvider
- Update provider imports in __init__.py to exclude removed providers
- Add needs_auth flag to You.com and HailuoAI providers
- Fix GeminiPro get_model method signature to accept kwargs

* fix (g4f/Provider/LambdaChat.py)

* refactor: format models list in LMArenaBeta provider

- Convert single-line models array to multi-line format
- Add 11 new models (hunyuan, flux-kontext-pro, cobalt variants, etc.)
- Remove 6 models (bagel, goldmane, redsword, etc.)
- Update stephen model ID

---------

Co-authored-by: kqlio67 <kqlio67.noreply.github.com>
2025-06-11 15:29:27 +02:00

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#!/usr/bin/env python3
"""
Markdown to HTML Converter using GitHub API
This tool converts Markdown files to HTML using GitHub's Markdown API,
producing high-quality HTML with GitHub Flavored Markdown support.
It supports single files, directories, and batch processing with
comprehensive error handling and retry logic.
Created for use with gpt4free (g4f) documentation system.
Usage:
python -m etc.tool.і [file.md] [options]
Examples:
# Convert single file
python -m etc.tool.md2html README.md
# Convert all files in directory
python -m etc.tool.md2html -d docs/
# Convert with custom output
python -m etc.tool.md2html file.md -o output.html
# Use custom template
python -m etc.tool.md2html -t custom.html file.md
Features:
- GitHub Flavored Markdown conversion
- Automatic retry logic for API failures
- Rate limit handling
- Template-based HTML generation
- Recursive directory processing
- Custom output paths
- Comprehensive error handling
Requirements:
- requests library
- GITHUB_TOKEN environment variable (optional, but recommended)
- template.html file in script directory
Author: Created for gpt4free (g4f) project
License: MIT
"""
import os
import sys
import requests
import time
import argparse
from pathlib import Path
from typing import Optional, List
def get_github_token() -> Optional[str]:
"""Get GitHub token with validation."""
token = os.getenv("GITHUB_TOKEN")
if not token:
print("Warning: GITHUB_TOKEN not found. API requests may be rate-limited.")
return None
return token
def extract_title(content: str) -> str:
"""Extract title from markdown content with fallback."""
if not content.strip():
return "Untitled"
lines = content.strip().splitlines()
for line in lines:
line = line.strip()
if line.startswith('#'):
return line.lstrip('#').strip()
return "Untitled"
def process_markdown_links(content: str) -> str:
"""Process markdown links for proper HTML conversion."""
content = content.replace("(README.md)", "(/docs/)")
content = content.replace("(../README.md)", "(/docs/)")
content = content.replace(".md)", ".html)")
return content
def convert_markdown_to_html(content: str, token: Optional[str] = None) -> str:
"""Convert markdown to HTML using GitHub API with retry logic."""
processed_content = process_markdown_links(content)
headers = {
"Accept": "application/vnd.github+json",
"User-Agent": "Markdown-Converter/1.0"
}
if token:
headers["Authorization"] = f"Bearer {token}"
payload = {
"text": processed_content,
"mode": "gfm",
"context": "gpt4free/gpt4free"
}
max_retries = 3
for attempt in range(max_retries):
try:
response = requests.post(
"https://api.github.com/markdown",
json=payload,
headers=headers,
timeout=30
)
if response.status_code == 200:
return response.text
elif response.status_code == 403:
print(f"Rate limit exceeded. Attempt {attempt + 1}/{max_retries}")
if attempt < max_retries - 1:
time.sleep(60)
continue
elif response.status_code == 401:
print("Authentication failed. Check your GITHUB_TOKEN.")
sys.exit(1)
else:
print(f"API request failed with status {response.status_code}: {response.text}")
if attempt < max_retries - 1:
time.sleep(5)
continue
except requests.exceptions.RequestException as e:
print(f"Network error on attempt {attempt + 1}: {e}")
if attempt < max_retries - 1:
time.sleep(5)
continue
print("Failed to convert markdown after all retries")
sys.exit(1)
def load_template(template_path: Path) -> str:
"""Load HTML template with error handling."""
if not template_path.exists():
print(f"Error: Template file not found at {template_path}")
sys.exit(1)
try:
with open(template_path, 'r', encoding='utf-8') as f:
return f.read()
except Exception as e:
print(f"Error reading template file: {e}")
sys.exit(1)
def process_file(file_path: Path, template: str, output_dir: Optional[Path] = None, token: Optional[str] = None) -> bool:
"""Process a single markdown file."""
try:
# Read markdown file
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
if not content.strip():
print(f"Warning: Empty file {file_path}")
return False
# Extract title
title = extract_title(content)
print(f"Processing: {file_path.name} -> Title: {title}")
# Convert to HTML
html = convert_markdown_to_html(content, token)
# Generate output filename
if file_path.name == "README.md":
output_filename = "index.html"
else:
output_filename = file_path.stem + ".html"
# Determine output path
if output_dir:
output_path = output_dir / output_filename
output_dir.mkdir(parents=True, exist_ok=True)
else:
output_path = file_path.parent / output_filename
# Generate final HTML
final_html = template.replace("{{ article }}", html).replace("{{ title }}", title)
# Write output file
with open(output_path, 'w', encoding='utf-8') as f:
f.write(final_html)
print(f"✓ Created: {output_path}")
return True
except Exception as e:
print(f"✗ Error processing {file_path}: {e}")
return False
def find_markdown_files(path: Path, recursive: bool = True) -> List[Path]:
"""Find markdown files in given path."""
markdown_files = []
if path.is_file():
if path.suffix.lower() == '.md':
markdown_files.append(path)
else:
print(f"Warning: {path} is not a markdown file")
elif path.is_dir():
if recursive:
markdown_files.extend(path.rglob("*.md"))
else:
markdown_files.extend(path.glob("*.md"))
else:
print(f"Error: {path} does not exist")
sys.exit(1)
return sorted(markdown_files)
def create_parser():
"""Create command line argument parser."""
parser = argparse.ArgumentParser(
description='Convert Markdown files to HTML using GitHub API',
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog='''
Examples:
# Convert single file
python md2html.py file.md
python md2html.py docs/README.md
# Convert single file with custom output
python md2html.py file.md -o output.html
python md2html.py file.md --output-dir ./html/
# Convert all markdown files in current directory
python md2html.py
# Convert all markdown files in specific directory (recursive)
python md2html.py -d docs/
python md2html.py --directory ./documentation/
# Convert files in directory (non-recursive)
python md2html.py -d docs/ --no-recursive
# Use custom template
python md2html.py -t custom_template.html file.md
# Convert multiple specific files
python md2html.py file1.md file2.md docs/file3.md
Environment Variables:
GITHUB_TOKEN GitHub personal access token for API authentication
(optional but recommended to avoid rate limits)
Template Variables:
{{ title }} Replaced with extracted document title
{{ article }} Replaced with converted HTML content
Created for gpt4free (g4f) documentation system.
'''
)
parser.add_argument(
'files',
nargs='*',
help='Markdown files to convert (if none specified, converts current directory)'
)
parser.add_argument(
'-d', '--directory',
type=Path,
help='Convert all .md files in directory'
)
parser.add_argument(
'-o', '--output',
type=Path,
help='Output file path (only for single file conversion)'
)
parser.add_argument(
'--output-dir',
type=Path,
help='Output directory for converted files'
)
parser.add_argument(
'-t', '--template',
type=Path,
default='template.html',
help='HTML template file (default: template.html)'
)
parser.add_argument(
'--no-recursive',
action='store_true',
help='Do not search subdirectories when using --directory'
)
parser.add_argument(
'-v', '--verbose',
action='store_true',
help='Show verbose output'
)
return parser
def main():
"""Main conversion function."""
parser = create_parser()
args = parser.parse_args()
# Get GitHub token
token = get_github_token()
# Determine template path
if args.template.is_absolute():
template_path = args.template
else:
template_path = Path(__file__).parent / args.template
# Load template
template = load_template(template_path)
# Determine what to convert
markdown_files = []
if args.files:
# Convert specific files
for file_str in args.files:
file_path = Path(file_str)
if file_path.exists():
if file_path.is_file() and file_path.suffix.lower() == '.md':
markdown_files.append(file_path)
else:
print(f"Warning: {file_path} is not a markdown file")
else:
print(f"Error: {file_path} does not exist")
sys.exit(1)
elif args.directory:
# Convert directory
recursive = not args.no_recursive
markdown_files = find_markdown_files(args.directory, recursive)
else:
# Convert current directory
current_dir = Path.cwd()
markdown_files = find_markdown_files(current_dir, recursive=True)
if not markdown_files:
print("No markdown files found to convert.")
return
# Validate arguments
if args.output and len(markdown_files) > 1:
print("Error: --output can only be used with single file conversion")
sys.exit(1)
if args.verbose:
print(f"Found {len(markdown_files)} markdown files to process:")
for f in markdown_files:
print(f" - {f}")
print()
else:
print(f"Found {len(markdown_files)} markdown files to process")
# Process files
successful = 0
failed = 0
for file_path in markdown_files:
# Determine output location
output_dir = None
if args.output and len(markdown_files) == 1:
# Single file with specific output
output_path = args.output
if process_single_file_with_output(file_path, template, output_path, token):
successful += 1
else:
failed += 1
else:
# Regular processing
if args.output_dir:
output_dir = args.output_dir
if process_file(file_path, template, output_dir, token):
successful += 1
else:
failed += 1
# Small delay to avoid hitting rate limits
time.sleep(0.5)
# Summary
print(f"\nConversion complete:")
print(f"✓ Successful: {successful}")
print(f"✗ Failed: {failed}")
if failed > 0:
sys.exit(1)
def process_single_file_with_output(file_path: Path, template: str, output_path: Path, token: Optional[str] = None) -> bool:
"""Process single file with specific output path."""
try:
# Read markdown file
with open(file_path, 'r', encoding='utf-8') as f:
content = f.read()
if not content.strip():
print(f"Warning: Empty file {file_path}")
return False
# Extract title
title = extract_title(content)
print(f"Processing: {file_path.name} -> Title: {title}")
# Convert to HTML
html = convert_markdown_to_html(content, token)
# Create output directory if needed
output_path.parent.mkdir(parents=True, exist_ok=True)
# Generate final HTML
final_html = template.replace("{{ article }}", html).replace("{{ title }}", title)
# Write output file
with open(output_path, 'w', encoding='utf-8') as f:
f.write(final_html)
print(f"✓ Created: {output_path}")
return True
except Exception as e:
print(f"✗ Error processing {file_path}: {e}")
return False
if __name__ == "__main__":
main()