Probably functional. Testing

This commit is contained in:
Test User
2025-10-23 19:29:26 +02:00
parent ab4b95c664
commit 245530389d
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---
title: Add-Only Mode Examples
created: '2025-10-23T18:33:48+02:00'
changed: '2025-10-23T18:33:48+02:00'
authors:
- Test User
version: 8c4f612
tags: []
---
# Add-Only Mode Examples
## Overview
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# Configuration Management
## Configuration Directory
Madomeda stores its configuration in a platform-specific location:
- **Windows**: `%USERPROFILE%\.config\madomeda`
- **macOS**: `~/.config/madomeda`
- **Linux**: `~/.config/madomeda`
## First Run
On first run, Madomeda automatically creates:
```
~/.config/madomeda/
├── .env # API configuration
├── templates/
│ └── default.json # Default frontmatter template
├── rules/
│ ├── lowercase_keys.json
│ ├── summary_to_description.json
│ ├── tag_to_tags.json
│ └── tags_normalization.json
└── prompts/
└── default.txt # Default LLM prompt
```
## Configuration Display
When running in an **interactive shell**, Madomeda displays configuration info:
```
Configuration directory: C:\Users\YourName\.config\madomeda
.env file: C:\Users\YourName\.config\madomeda\.env
Templates: C:\Users\YourName\.config\madomeda\templates
Rules: C:\Users\YourName\.config\madomeda\rules
Prompts: C:\Users\YourName\.config\madomeda\prompts
API Key: Not configured (LLM features disabled)
```
In **non-interactive mode** (pipes, scripts), this info is suppressed.
## API Key Configuration
The `.env` file supports three modes for `OPENAI_API_KEY`:
### 1. No API Key (Default)
```bash
OPENAI_API_KEY=""
```
**Output:**
```
API Key: Not configured (LLM features disabled)
```
**Behavior:** LLM features are disabled, only heuristics and original values used.
### 2. Environment Variable Reference
```bash
OPENAI_API_KEY=$MY_API_KEY
```
**Output:**
```
API Key: From environment variable $MY_API_KEY
```
**Behavior:**
- Reads key from environment variable `MY_API_KEY`
- **Error if not found:**
```
ValueError: Environment variable 'MY_API_KEY' not found.
Referenced in .env as OPENAI_API_KEY=$MY_API_KEY
```
**Setup:**
```bash
# Linux/macOS
export MY_API_KEY="sk-your-actual-key"
# Windows (PowerShell)
$env:MY_API_KEY = "sk-your-actual-key"
# Windows (CMD)
set MY_API_KEY=sk-your-actual-key
```
### 3. Plain Text Key
```bash
OPENAI_API_KEY=sk-1234567890abcdef
```
**Output:**
```
API Key: Configured (plain text)
WARNING: Storing API keys in plain text is a security risk!
Consider using environment variable: OPENAI_API_KEY=$YOUR_ENV_VAR
```
**Behavior:** Works but shows security warning every run.
## Best Practices
### ✅ Recommended: Environment Variable
```bash
# In .env file
OPENAI_API_KEY=$OPENAI_API_KEY
# In your shell profile (~/.bashrc, ~/.zshrc, etc.)
export OPENAI_API_KEY="sk-your-actual-key"
```
**Benefits:**
- Key not stored in config file
- Can be different per user/machine
- Easy to rotate without editing files
- Can use system keyring tools
### ⚠️ Acceptable: Empty String
```bash
OPENAI_API_KEY=""
```
**Use when:**
- Don't have LLM access
- Only using heuristics
- Testing/development
### ❌ Not Recommended: Plain Text
```bash
OPENAI_API_KEY=sk-1234567890abcdef
```
**Risks:**
- Key visible to anyone with file access
- Accidentally committed to version control
- Hard to rotate across systems
## Customizing Configuration
### Custom Templates
Create in `~/.config/madomeda/templates/`:
```bash
# Create minimal template
cat > ~/.config/madomeda/templates/minimal.json << 'EOF'
{
"title": "heur|orig",
"date": "heur|orig",
"tags": "orig"
}
EOF
# Use it
madomeda --template minimal
```
### Custom Rules
Create in `~/.config/madomeda/rules/`:
```bash
cat > ~/.config/madomeda/rules/my_rule.json << 'EOF'
{
"name": "my_custom_rule",
"description": "My custom rule description",
"type": "custom"
}
EOF
```
Note: Custom rules require code changes in `core/rules.py` to implement logic.
### Custom Prompts
Create in `~/.config/madomeda/prompts/`:
```bash
cat > ~/.config/madomeda/prompts/technical.txt << 'EOF'
You are a technical documentation expert.
Focus on API documentation and code examples.
...
EOF
```
Reference in template:
```json
{
"summary": "ai technical"
}
```
## Multiple API Providers
Edit `OPENAI_API_URL` in `.env`:
```bash
# OpenAI
OPENAI_API_URL=https://api.openai.com/v1
# Azure OpenAI
OPENAI_API_URL=https://your-resource.openai.azure.com/
# Local LLM (Ollama)
OPENAI_API_URL=http://localhost:11434/v1
# Other OpenAI-compatible APIs
OPENAI_API_URL=https://api.your-provider.com/v1
```
## Troubleshooting
### Config Not Created
Ensure write permissions:
```bash
mkdir -p ~/.config/madomeda
chmod 755 ~/.config/madomeda
```
### Environment Variable Not Found
Check it's set:
```bash
# Linux/macOS
echo $MY_API_KEY
# Windows (PowerShell)
echo $env:MY_API_KEY
```
If not set, add to shell profile or set before running:
```bash
MY_API_KEY="sk-key" madomeda
```
### Wrong Config Location
Madomeda uses `$USERPROFILE` (Windows) or `$HOME` (Unix).
Check:
```bash
# Linux/macOS
echo ~/.config/madomeda
# Windows (PowerShell)
echo $env:USERPROFILE\.config\madomeda
```
### API Key Warning on Every Run
This is intentional for plain text keys. Switch to environment variable to suppress.
## Migration from Old Version
If you had local `.env`, `templates/`, `rules/`, `prompts/` in the repo:
1. Copy to new location:
```bash
cp -r templates ~/.config/madomeda/
cp -r rules ~/.config/madomeda/
cp -r prompts ~/.config/madomeda/
cp .env ~/.config/madomeda/
```
2. Update `.gitignore` (no longer need to ignore these locally)
3. Old local files are now ignored by the program
## Security Notes
- Never commit `.env` with plain text keys
- Use environment variables or secret management tools
- Config directory is user-specific (not shared)
- On shared systems, ensure `~/.config/madomeda/` has proper permissions:
```bash
chmod 700 ~/.config/madomeda
```
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---
title: Getting Started with Madomeda
created: '2025-10-23T18:33:48+02:00'
changed: '2025-10-23T18:33:48+02:00'
authors:
- Test User
version: 8c4f612
tags: []
---
# Getting Started with Madomeda
## Prerequisites
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---
title: Madomeda - Implementation Summary
created: '2025-10-23T18:33:48+02:00'
changed: '2025-10-23T18:33:48+02:00'
authors:
- Test User
version: 8c4f612
tags: []
---
# Madomeda - Implementation Summary
## What Was Created
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---
title: Madomeda - Project Complete
created: '2025-10-23T18:33:48+02:00'
changed: '2025-10-23T18:33:48+02:00'
authors:
- Test User
version: 8c4f612
tags: []
---
# Madomeda - Project Complete
## Overview
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---
title: Madomeda - Markdown Document Metadata Manager
created: '2025-10-23T18:33:48+02:00'
changed: '2025-10-23T18:33:48+02:00'
authors:
- Test User
version: 8c4f612
tags: []
---
# Madomeda - Markdown Document Metadata Manager
A Python tool for managing and normalizing frontmatter in markdown files within git repositories.
@@ -64,15 +73,25 @@ SQLite database stores:
pip install -r requirements.txt
```
The first time you run Madomeda, it will automatically create a configuration directory at `~/.config/madomeda` (all platforms) with default settings.
### Optional: LLM Configuration
Edit `.env`:
```
OPENAI_API_URL=https://api.openai.com/v1
OPENAI_MODEL=gpt-4
OPENAI_API_KEY=your-api-key-here
Edit `~/.config/madomeda/.env`:
```bash
# Option 1: Use environment variable (recommended)
OPENAI_API_KEY=$OPENAI_API_KEY
# Option 2: No LLM (empty string)
OPENAI_API_KEY=""
# Option 3: Plain text (not recommended - security warning)
OPENAI_API_KEY=sk-your-key-here
```
For detailed configuration options, see [CONFIGURATION.md](CONFIGURATION.md).
## Usage
```bash
@@ -131,9 +150,12 @@ tags:
- **[GETTING_STARTED.md](GETTING_STARTED.md)** - Step-by-step guide
- **[USAGE.md](USAGE.md)** - Detailed usage examples
- **[CONFIGURATION.md](CONFIGURATION.md)** - Configuration management
- **[STRUCTURE.md](STRUCTURE.md)** - Project architecture
- **[IMPLEMENTATION.md](IMPLEMENTATION.md)** - Technical details
- **[PROJECT_SUMMARY.md](PROJECT_SUMMARY.md)** - Complete overview
- **[ADD_ONLY_EXAMPLES.md](ADD_ONLY_EXAMPLES.md)** - Add-only mode guide
- **[VERSION_FIELD.md](VERSION_FIELD.md)** - Version field behavior
## Project Structure
@@ -142,9 +164,9 @@ madomeda/
├── madomeda.py # Main entry point
├── inspect_db.py # Database inspection tool
├── requirements.txt # Dependencies
├── .env # LLM configuration
├── core/ # Core modules
│ ├── config.py # Configuration management
│ ├── database.py # SQLite management
│ ├── repository.py # Git operations
│ ├── frontmatter.py # YAML parsing
@@ -154,12 +176,13 @@ madomeda/
│ ├── changelog.py # Change logging
│ └── processor.py # Main orchestration
└── madomeda.db # Database (in repo, gitignored)
~/.config/madomeda/ # User configuration (auto-created)
├── .env # API configuration
├── templates/ # Frontmatter templates
├── rules/ # Validation rules
── prompts/ # LLM prompts
├── madomeda.db # Database (gitignored)
└── madomeda_changelog.txt # Change log
── prompts/ # LLM prompts
```
## Templates
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---
title: Madomeda Project Structure
created: '2025-10-23T18:33:48+02:00'
changed: '2025-10-23T18:33:48+02:00'
authors:
- Test User
version: 8c4f612
tags: []
---
# Madomeda Project Structure
## Overview
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---
title: Madomeda Usage Examples
created: '2025-10-23T18:33:48+02:00'
changed: '2025-10-23T18:33:48+02:00'
authors:
- Test User
version: 8c4f612
tags: []
---
# Madomeda Usage Examples
## Basic Usage
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---
title: Version Field Behavior
created: '2025-10-23T18:33:48+02:00'
changed: '2025-10-23T18:33:48+02:00'
authors:
- Test User
version: 8c4f612
tags: []
---
# Version Field Behavior
## Overview
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---
title: AI Testing Document
created: '2025-10-23T19:22:20+02:00'
changed: '2025-10-23T19:22:20+02:00'
authors:
- Test User
version: ab4b95c
tags:
- aiml
- data_science
- deep_learning
- machine_learning
- neural_networks
---
# AI Testing Document
This document is about machine learning, artificial intelligence, and neural networks. It covers deep learning techniques, natural language processing, and computer vision applications.
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"""
Configuration management module
"""
import os
import sys
import shutil
from pathlib import Path
from typing import Optional
class ConfigManager:
def __init__(self):
self.config_dir = self._get_config_dir()
self.env_file = self.config_dir / '.env'
self.templates_dir = self.config_dir / 'templates'
self.rules_dir = self.config_dir / 'rules'
self.prompts_dir = self.config_dir / 'prompts'
def _get_config_dir(self) -> Path:
"""Get platform-specific config directory"""
if sys.platform == 'win32':
# Windows: %USERPROFILE%\.config\madomeda
base = Path(os.environ.get('USERPROFILE', os.path.expanduser('~')))
config_dir = base / '.config' / 'madomeda'
elif sys.platform == 'darwin':
# macOS: ~/.config/madomeda
config_dir = Path.home() / '.config' / 'madomeda'
else:
# Linux: ~/.config/madomeda
config_dir = Path.home() / '.config' / 'madomeda'
return config_dir
def ensure_config_exists(self):
"""Ensure configuration directory exists with default files"""
if not self.config_dir.exists():
self.config_dir.mkdir(parents=True, exist_ok=True)
self._create_default_config()
# Ensure subdirectories exist
self.templates_dir.mkdir(exist_ok=True)
self.rules_dir.mkdir(exist_ok=True)
self.prompts_dir.mkdir(exist_ok=True)
# Copy defaults if they don't exist
if not (self.templates_dir / 'default.json').exists():
self._create_default_template()
if not list(self.rules_dir.glob('*.json')):
self._create_default_rules()
if not (self.prompts_dir / 'default.txt').exists():
self._create_default_prompt()
def _create_default_config(self):
"""Create default .env file"""
default_env = """# Madomeda Configuration
# OpenAI-compatible API settings
# API endpoint URL
OPENAI_API_URL=https://api.openai.com/v1
# Model to use
OPENAI_MODEL=gpt-4
# API Key options:
# 1. Empty string "" = No API key needed (LLM features disabled)
# 2. $ENV_VAR_NAME = Read from environment variable
# 3. Direct key = Use the key (WARNING: security risk in plain text)
OPENAI_API_KEY=""
"""
with open(self.env_file, 'w', encoding='utf-8') as f:
f.write(default_env)
def _create_default_template(self):
"""Create default template"""
import json
default_template = {
"title": "heur|orig",
"created": "heur|orig",
"changed": "heur|orig",
"authors": "heur|orig",
"version": "heur|orig",
"tags": "heur|orig|ai default"
}
with open(self.templates_dir / 'default.json', 'w', encoding='utf-8') as f:
json.dump(default_template, f, indent=2)
def _create_default_rules(self):
"""Create default rules"""
import json
rules = {
'tags_normalization.json': {
"name": "tags_normalization",
"description": "Normalize tags to lowercase with underscores",
"type": "tags"
},
'tag_to_tags.json': {
"name": "tag_to_tags",
"description": "Rename 'tag' key to 'tags'",
"type": "rename"
},
'lowercase_keys.json': {
"name": "lowercase_keys",
"description": "All frontmatter keys must be lowercase",
"type": "keys"
},
'summary_to_description.json': {
"name": "summary_to_description",
"description": "Rename 'summary' key to 'description'",
"type": "rename"
}
}
for filename, rule_data in rules.items():
with open(self.rules_dir / filename, 'w', encoding='utf-8') as f:
json.dump(rule_data, f, indent=2)
def _create_default_prompt(self):
"""Create default prompt"""
default_prompt = """You are a metadata extraction assistant for markdown documents.
Your task is to analyze the document content and suggest appropriate frontmatter metadata.
Guidelines:
- For tags: prefer selecting from the provided existing tags list when appropriate
- You may create new tags if they better fit the content
- New tags must follow the rules: lowercase letters, numbers, and underscores only
- Be concise and accurate
- Preserve important existing metadata when present"""
with open(self.prompts_dir / 'default.txt', 'w', encoding='utf-8') as f:
f.write(default_prompt)
def get_api_config(self) -> dict:
"""Get API configuration with environment variable resolution"""
config = {
'url': 'https://api.openai.com/v1',
'model': 'gpt-4',
'api_key': '',
'api_key_source': 'none'
}
if not self.env_file.exists():
return config
# Parse .env file
env_vars = {}
with open(self.env_file, 'r', encoding='utf-8') as f:
for line in f:
line = line.strip()
if not line or line.startswith('#'):
continue
if '=' in line:
key, value = line.split('=', 1)
env_vars[key.strip()] = value.strip()
# Get URL
if 'OPENAI_API_URL' in env_vars:
config['url'] = env_vars['OPENAI_API_URL']
# Get model
if 'OPENAI_MODEL' in env_vars:
config['model'] = env_vars['OPENAI_MODEL']
# Get API key with special handling
if 'OPENAI_API_KEY' in env_vars:
api_key_value = env_vars['OPENAI_API_KEY']
# Remove quotes if present
api_key_value = api_key_value.strip('"').strip("'")
if not api_key_value:
# Empty string = no key needed
config['api_key'] = ''
config['api_key_source'] = 'none'
elif api_key_value.startswith('$'):
# Environment variable reference
env_var_name = api_key_value[1:]
env_value = os.environ.get(env_var_name)
if env_value is None:
raise ValueError(
f"Environment variable '{env_var_name}' not found. "
f"Referenced in .env as OPENAI_API_KEY={api_key_value}"
)
config['api_key'] = env_value
config['api_key_source'] = f'env:{env_var_name}'
else:
# Plain text key (security warning will be issued)
config['api_key'] = api_key_value
config['api_key_source'] = 'plaintext'
return config
def print_config_info(self):
"""Print configuration location and status"""
print(f"Configuration directory: {self.config_dir}")
print(f" .env file: {self.env_file}")
print(f" Templates: {self.templates_dir}")
print(f" Rules: {self.rules_dir}")
print(f" Prompts: {self.prompts_dir}")
# Get API config to show status
try:
api_config = self.get_api_config()
if api_config['api_key_source'] == 'none':
print(f" API Key: Not configured (LLM features disabled)")
elif api_config['api_key_source'] == 'plaintext':
print(f" API Key: Configured (plain text)")
print(f" WARNING: Storing API keys in plain text is a security risk!")
print(f" Consider using environment variable: OPENAI_API_KEY=$YOUR_ENV_VAR")
elif api_config['api_key_source'].startswith('env:'):
env_var = api_config['api_key_source'].split(':', 1)[1]
print(f" API Key: From environment variable ${env_var}")
except ValueError as e:
print(f" API Key: ERROR - {e}")
print()
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@@ -5,17 +5,14 @@ import os
import json
from pathlib import Path
from typing import Optional
from dotenv import load_dotenv
from openai import OpenAI
class LLMClient:
def __init__(self, prompts_dir: Path):
load_dotenv()
self.api_url = os.getenv('OPENAI_API_URL', 'https://api.openai.com/v1')
self.model = os.getenv('OPENAI_MODEL', 'gpt-4')
self.api_key = os.getenv('OPENAI_API_KEY', '')
def __init__(self, prompts_dir: Path, api_config: dict):
self.api_url = api_config.get('url', 'https://api.openai.com/v1')
self.model = api_config.get('model', 'gpt-4')
self.api_key = api_config.get('api_key', '')
self.client = OpenAI(
base_url=self.api_url,
@@ -23,25 +20,6 @@ class LLMClient:
) if self.api_key else None
self.prompts_dir = prompts_dir
if not prompts_dir.exists():
prompts_dir.mkdir(parents=True)
self._create_default_prompt()
def _create_default_prompt(self):
"""Create default system prompt"""
default_prompt = """You are a metadata extraction assistant for markdown documents.
Your task is to analyze the document content and suggest appropriate frontmatter metadata.
Guidelines:
- For tags: prefer selecting from the provided existing tags list when appropriate
- You may create new tags if they better fit the content
- New tags must follow the rules: lowercase letters, numbers, and underscores only
- Be concise and accurate
- Preserve important existing metadata when present"""
with open(self.prompts_dir / 'default.txt', 'w', encoding='utf-8') as f:
f.write(default_prompt)
def load_prompt(self, name: str = 'default') -> str:
"""Load prompt template"""
+18 -5
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@@ -1,6 +1,7 @@
"""
Main frontmatter processor
"""
import sys
from pathlib import Path
from datetime import datetime
from core.database import Database
@@ -10,6 +11,7 @@ from core.rules import RulesEngine
from core.template import TemplateManager
from core.llm import LLMClient
from core.changelog import ChangeLog
from core.config import ConfigManager
class FrontmatterProcessor:
@@ -22,15 +24,26 @@ class FrontmatterProcessor:
self.force = force
self.add_only = add_only
# Initialize configuration
self.config = ConfigManager()
self.config.ensure_config_exists()
# Get API configuration
api_config = self.config.get_api_config()
self.db = Database(repo.path / 'madomeda.db')
self.rules = RulesEngine(repo.path / 'rules')
self.templates = TemplateManager(repo.path / 'templates')
self.llm = LLMClient(repo.path / 'prompts')
self.rules = RulesEngine(self.config.rules_dir)
self.templates = TemplateManager(self.config.templates_dir)
self.llm = LLMClient(self.config.prompts_dir, api_config)
self.changelog = ChangeLog(repo.path)
self.parser = FrontmatterParser()
def process(self):
"""Main processing loop"""
# Print configuration info if running in interactive shell
if sys.stdin.isatty():
self.config.print_config_info()
print(f"Processing repository: {self.repo.path}")
print(f"Template: {self.template_name}")
print(f"Mode: {'DRY RUN' if self.whatif else 'LIVE'}")
@@ -235,8 +248,8 @@ class FrontmatterProcessor:
elif field == 'tags':
tags = normalized_fm.get('tags', [])
# Always return the list (even if empty) so it's preserved
return tags
# Return None if empty so AI inference is tried
return tags if tags else None
return None
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@@ -14,56 +14,14 @@ class RulesEngine:
def _load_rules(self) -> List[dict]:
"""Load all rule files"""
if not self.rules_dir.exists():
self.rules_dir.mkdir(parents=True)
self._create_default_rules()
rules = []
for rule_file in self.rules_dir.glob('*.json'):
with open(rule_file, 'r', encoding='utf-8') as f:
rules.append(json.load(f))
if self.rules_dir.exists():
for rule_file in self.rules_dir.glob('*.json'):
with open(rule_file, 'r', encoding='utf-8') as f:
rules.append(json.load(f))
return rules
def _create_default_rules(self):
"""Create default rule files"""
# Tags normalization rule
tags_rule = {
"name": "tags_normalization",
"description": "Normalize tags to lowercase with underscores",
"type": "tags"
}
tag_to_tags_rule = {
"name": "tag_to_tags",
"description": "Rename 'tag' key to 'tags'",
"type": "rename"
}
lowercase_keys_rule = {
"name": "lowercase_keys",
"description": "All frontmatter keys must be lowercase",
"type": "keys"
}
summary_to_description_rule = {
"name": "summary_to_description",
"description": "Rename 'summary' key to 'description'",
"type": "rename"
}
with open(self.rules_dir / 'tags_normalization.json', 'w', encoding='utf-8') as f:
json.dump(tags_rule, f, indent=2)
with open(self.rules_dir / 'tag_to_tags.json', 'w', encoding='utf-8') as f:
json.dump(tag_to_tags_rule, f, indent=2)
with open(self.rules_dir / 'lowercase_keys.json', 'w', encoding='utf-8') as f:
json.dump(lowercase_keys_rule, f, indent=2)
with open(self.rules_dir / 'summary_to_description.json', 'w', encoding='utf-8') as f:
json.dump(summary_to_description_rule, f, indent=2)
def apply_rules(self, frontmatter: dict) -> Tuple[dict, bool]:
"""Apply all rules to frontmatter, return (modified_fm, is_conformant)"""
if not frontmatter:
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@@ -10,24 +10,6 @@ class TemplateManager:
def __init__(self, templates_dir: Path):
self.templates_dir = templates_dir
if not templates_dir.exists():
templates_dir.mkdir(parents=True)
self._create_default_template()
def _create_default_template(self):
"""Create default template"""
default_template = {
"title": "heur|orig",
"created": "heur|orig",
"changed": "heur|orig",
"authors": "heur|orig",
"version": "heur|orig",
"tags": "orig|ai default"
}
with open(self.templates_dir / 'default.json', 'w', encoding='utf-8') as f:
json.dump(default_template, f, indent=2)
def load_template(self, name: str) -> dict:
"""Load template by name"""
template_path = self.templates_dir / f'{name}.json'
@@ -35,8 +17,6 @@ class TemplateManager:
if not template_path.exists():
# Fallback to default
template_path = self.templates_dir / 'default.json'
if not template_path.exists():
self._create_default_template()
with open(template_path, 'r', encoding='utf-8') as f:
return json.load(f)
+14
View File
@@ -35,3 +35,17 @@
2025-10-23 18:32:49 (commit: 0463d73ef927403e235bfd18ad9d202ae57ec618)
notag.md - frontmatter updated
2025-10-23 19:23:00 (commit: ab4b95c664427f6b08bd7510fd8c925403887ea5)
ADD_ONLY_EXAMPLES.md - frontmatter updated
GETTING_STARTED.md - frontmatter updated
IMPLEMENTATION.md - frontmatter updated
PROJECT_SUMMARY.md - frontmatter updated
README.md - frontmatter updated
STRUCTURE.md - frontmatter updated
USAGE.md - frontmatter updated
VERSION_FIELD.md - frontmatter updated
ai_test.md - frontmatter updated
2025-10-23 19:23:44 (commit: ab4b95c664427f6b08bd7510fd8c925403887ea5)
ai_test.md - frontmatter updated
-1
View File
@@ -1,3 +1,2 @@
PyYAML>=6.0
python-dotenv>=1.0.0
openai>=1.0.0