Change default settings for Rate Limiting and Fuzzy Match Threshold

Changed default values:
- Rate Limiting: "medium" → "none" (disabled by default)
- Fuzzy Match Threshold: 85 → 65 (more permissive matching)

Updated all fallback values in settings.get() calls throughout the codebase
to ensure consistency with the new defaults.
This commit is contained in:
Claude
2025-11-29 00:25:36 +00:00
parent 585eb852f9
commit 4a037a57d2

View File

@@ -118,8 +118,8 @@ class Plugin:
"id": "fuzzy_match_threshold",
"label": "🎯 Fuzzy Match Threshold",
"type": "number",
"default": 85,
"help_text": "Minimum similarity score (0-100) for fuzzy matching. Higher values require closer matches. Default: 85",
"default": 65,
"help_text": "Minimum similarity score (0-100) for fuzzy matching. Higher values require closer matches. Default: 65",
},
{
"id": "dispatcharr_url",
@@ -227,7 +227,7 @@ class Plugin:
{"label": "Medium (Standard)", "value": "medium"},
{"label": "High (Slow)", "value": "high"},
],
"default": "medium",
"default": "none",
"help_text": "Controls delay between API calls. None=No delays, Low=Fast/Aggressive, Medium=Standard, High=Slow/Safe.",
},
{
@@ -1619,7 +1619,7 @@ class Plugin:
settings = context['settings']
# Initialize fuzzy matcher with configured threshold
match_threshold = settings.get("fuzzy_match_threshold", 85)
match_threshold = settings.get("fuzzy_match_threshold", 65)
try:
match_threshold = int(match_threshold)
except (ValueError, TypeError):
@@ -2008,7 +2008,7 @@ class Plugin:
"""Load and process channels from specified profile and groups."""
try:
# Create the rate limiter instance once
limiter = SmartRateLimiter(settings.get("rate_limiting", "medium"), logger)
limiter = SmartRateLimiter(settings.get("rate_limiting", "none"), logger)
self._send_progress_update("load_process_channels", 'running', 5, 'Validating settings...', context)
logger.debug("[Stream-Mapparr] Validating settings before loading channels...")
@@ -2305,7 +2305,7 @@ class Plugin:
selected_groups = processed_data.get('selected_groups', [])
selected_stream_groups = processed_data.get('selected_stream_groups', [])
selected_m3us = processed_data.get('selected_m3us', [])
current_threshold = settings.get('fuzzy_match_threshold', 85)
current_threshold = settings.get('fuzzy_match_threshold', 65)
# Build header with all settings except login credentials
header_lines = [
@@ -2363,7 +2363,7 @@ class Plugin:
f"# Enable Scheduled CSV Export: {settings.get('enable_scheduled_csv_export', False)}",
"#",
"# === API Settings ===",
f"# Rate Limiting: {settings.get('rate_limiting', 'medium')}",
f"# Rate Limiting: {settings.get('rate_limiting', 'none')}",
"#",
])
@@ -2556,7 +2556,7 @@ class Plugin:
try:
self._send_progress_update("preview_changes", 'running', 5, 'Initializing preview...', context)
limiter = SmartRateLimiter(settings.get("rate_limiting", "medium"), logger)
limiter = SmartRateLimiter(settings.get("rate_limiting", "none"), logger)
self._send_progress_update("preview_changes", 'running', 10, 'Validating settings...', context)
has_errors, validation_results, token = self._validate_plugin_settings(settings, logger)
@@ -2592,7 +2592,7 @@ class Plugin:
total_channels_to_update = 0
low_match_channels = [] # Track channels with few matches for recommendations
threshold_data = {} # Track threshold analysis for recommendations
current_threshold = settings.get('fuzzy_match_threshold', 85)
current_threshold = settings.get('fuzzy_match_threshold', 65)
try:
current_threshold = int(current_threshold)
except (ValueError, TypeError):
@@ -2744,7 +2744,7 @@ class Plugin:
try:
self._send_progress_update("add_streams_to_channels", 'running', 5, 'Initializing stream assignment...', context)
limiter = SmartRateLimiter(settings.get("rate_limiting", "medium"), logger)
limiter = SmartRateLimiter(settings.get("rate_limiting", "none"), logger)
self._send_progress_update("add_streams_to_channels", 'running', 10, 'Authenticating...', context)
token, error = self._get_api_token(settings, logger)
@@ -2865,7 +2865,7 @@ class Plugin:
csv_data = []
low_match_channels = [] # Track channels with few matches for recommendations
threshold_data = {} # Track threshold analysis for recommendations
current_threshold = settings.get('fuzzy_match_threshold', 85)
current_threshold = settings.get('fuzzy_match_threshold', 65)
try:
current_threshold = int(current_threshold)
except (ValueError, TypeError):