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change max lenght

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This commit is contained in:
Pablo Estevez
2026-01-17 17:48:15 +00:00
parent 97e597d9db
commit c33c6f9073
118 changed files with 3546 additions and 960 deletions
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8
src/skill_seekers/mcp/tools/config_tools.py
View File

@@ -169,7 +169,9 @@ async def validate_config(args: dict) -> list[TextContent]:
try:
# Check if file exists
if not Path(config_path).exists():
return [TextContent(type="text", text=f"❌ Error: Config file not found: {config_path}")]
return [
TextContent(type="text", text=f"❌ Error: Config file not found: {config_path}")
]
# Try unified config validator first
try:
@@ -193,7 +195,9 @@ async def validate_config(args: dict) -> list[TextContent]:
result += f" Max pages: {source.get('max_pages', 'Not set')}\n"
elif source["type"] == "github":
result += f" Repo: {source.get('repo', 'N/A')}\n"
result += f" Code depth: {source.get('code_analysis_depth', 'surface')}\n"
result += (
f" Code depth: {source.get('code_analysis_depth', 'surface')}\n"
)
elif source["type"] == "pdf":
result += f" Path: {source.get('path', 'N/A')}\n"

76
src/skill_seekers/mcp/tools/packaging_tools.py
View File

@@ -252,14 +252,18 @@ async def upload_skill_tool(args: dict) -> list[TextContent]:
except ValueError as e:
return [
TextContent(
type="text", text=f"❌ Invalid platform: {str(e)}\n\nSupported platforms: claude, gemini, openai"
type="text",
text=f"❌ Invalid platform: {str(e)}\n\nSupported platforms: claude, gemini, openai",
)
]
# Check if upload is supported
if target == "markdown":
return [
TextContent(type="text", text="❌ Markdown export does not support upload. Use the packaged file manually.")
TextContent(
type="text",
text="❌ Markdown export does not support upload. Use the packaged file manually.",
)
]
# Run upload_skill.py with target parameter
@@ -323,13 +327,18 @@ async def enhance_skill_tool(args: dict) -> list[TextContent]:
except ValueError as e:
return [
TextContent(
type="text", text=f"❌ Invalid platform: {str(e)}\n\nSupported platforms: claude, gemini, openai"
type="text",
text=f"❌ Invalid platform: {str(e)}\n\nSupported platforms: claude, gemini, openai",
)
]
# Check if enhancement is supported
if not adaptor.supports_enhancement():
return [TextContent(type="text", text=f"❌ {adaptor.PLATFORM_NAME} does not support AI enhancement")]
return [
TextContent(
type="text", text=f"❌ {adaptor.PLATFORM_NAME} does not support AI enhancement"
)
]
output_lines = []
output_lines.append(f"🚀 Enhancing skill with {adaptor.PLATFORM_NAME}")
@@ -373,12 +382,19 @@ async def enhance_skill_tool(args: dict) -> list[TextContent]:
if not api_key:
return [
TextContent(type="text", text=f"❌ {env_var} not set. Set API key or pass via api_key parameter.")
TextContent(
type="text",
text=f"❌ {env_var} not set. Set API key or pass via api_key parameter.",
)
]
# Validate API key
if not adaptor.validate_api_key(api_key):
return [TextContent(type="text", text=f"❌ Invalid API key format for {adaptor.PLATFORM_NAME}")]
return [
TextContent(
type="text", text=f"❌ Invalid API key format for {adaptor.PLATFORM_NAME}"
)
]
output_lines.append("Calling API for enhancement...")
output_lines.append("")
@@ -447,7 +463,8 @@ async def install_skill_tool(args: dict) -> list[TextContent]:
except ValueError as e:
return [
TextContent(
type="text", text=f"❌ Error: {str(e)}\n\nSupported platforms: claude, gemini, openai, markdown"
type="text",
text=f"❌ Error: {str(e)}\n\nSupported platforms: claude, gemini, openai, markdown",
)
]
@@ -498,7 +515,9 @@ async def install_skill_tool(args: dict) -> list[TextContent]:
if not dry_run:
# Call fetch_config_tool directly
fetch_result = await fetch_config_tool({"config_name": config_name, "destination": destination})
fetch_result = await fetch_config_tool(
{"config_name": config_name, "destination": destination}
)
# Parse result to extract config path
fetch_output = fetch_result[0].text
@@ -512,7 +531,12 @@ async def install_skill_tool(args: dict) -> list[TextContent]:
workflow_state["config_path"] = match.group(1).strip()
output_lines.append(f"✅ Config fetched: {workflow_state['config_path']}")
else:
return [TextContent(type="text", text="\n".join(output_lines) + "\n\n❌ Failed to fetch config")]
return [
TextContent(
type="text",
text="\n".join(output_lines) + "\n\n❌ Failed to fetch config",
)
]
workflow_state["phases_completed"].append("fetch_config")
else:
@@ -537,7 +561,10 @@ async def install_skill_tool(args: dict) -> list[TextContent]:
workflow_state["skill_name"] = config.get("name", "unknown")
except Exception as e:
return [
TextContent(type="text", text="\n".join(output_lines) + f"\n\n❌ Failed to read config: {str(e)}")
TextContent(
type="text",
text="\n".join(output_lines) + f"\n\n❌ Failed to read config: {str(e)}",
)
]
# Call scrape_docs_tool (does NOT include enhancement)
@@ -561,7 +588,10 @@ async def install_skill_tool(args: dict) -> list[TextContent]:
# Check for success
if "❌" in scrape_output:
return [
TextContent(type="text", text="\n".join(output_lines) + "\n\n❌ Scraping failed - see error above")
TextContent(
type="text",
text="\n".join(output_lines) + "\n\n❌ Scraping failed - see error above",
)
]
workflow_state["skill_dir"] = f"{destination}/{workflow_state['skill_name']}"
@@ -641,9 +671,13 @@ async def install_skill_tool(args: dict) -> list[TextContent]:
else:
# Fallback: construct package path based on platform
if target == "gemini":
workflow_state["zip_path"] = f"{destination}/{workflow_state['skill_name']}-gemini.tar.gz"
workflow_state["zip_path"] = (
f"{destination}/{workflow_state['skill_name']}-gemini.tar.gz"
)
elif target == "openai":
workflow_state["zip_path"] = f"{destination}/{workflow_state['skill_name']}-openai.zip"
workflow_state["zip_path"] = (
f"{destination}/{workflow_state['skill_name']}-openai.zip"
)
else:
workflow_state["zip_path"] = f"{destination}/{workflow_state['skill_name']}.zip"
@@ -660,7 +694,9 @@ async def install_skill_tool(args: dict) -> list[TextContent]:
pkg_ext = "zip"
pkg_file = f"{destination}/{workflow_state['skill_name']}.zip"
output_lines.append(f" [DRY RUN] Would package to {pkg_ext} file for {adaptor.PLATFORM_NAME}")
output_lines.append(
f" [DRY RUN] Would package to {pkg_ext} file for {adaptor.PLATFORM_NAME}"
)
workflow_state["zip_path"] = pkg_file
output_lines.append("")
@@ -725,7 +761,9 @@ async def install_skill_tool(args: dict) -> list[TextContent]:
output_lines.append(" (No API key needed - markdown is export only)")
output_lines.append(f" Package created: {workflow_state['zip_path']}")
else:
output_lines.append(f" [DRY RUN] Would upload to {adaptor.PLATFORM_NAME} (if API key set)")
output_lines.append(
f" [DRY RUN] Would upload to {adaptor.PLATFORM_NAME} (if API key set)"
)
output_lines.append("")
@@ -757,12 +795,16 @@ async def install_skill_tool(args: dict) -> list[TextContent]:
output_lines.append(" Go to https://aistudio.google.com/ to use it")
elif target == "openai":
output_lines.append("🎉 Your assistant is now available in OpenAI!")
output_lines.append(" Go to https://platform.openai.com/assistants/ to use it")
output_lines.append(
" Go to https://platform.openai.com/assistants/ to use it"
)
elif auto_upload:
output_lines.append("📝 Manual upload required (see instructions above)")
else:
output_lines.append("📤 To upload:")
output_lines.append(f" skill-seekers upload {workflow_state['zip_path']} --target {target}")
output_lines.append(
f" skill-seekers upload {workflow_state['zip_path']} --target {target}"
)
else:
output_lines.append("This was a dry run. No actions were taken.")
output_lines.append("")

33
src/skill_seekers/mcp/tools/scraping_tools.py
View File

@@ -140,7 +140,13 @@ async def estimate_pages_tool(args: dict) -> list[TextContent]:
timeout = max(300, max_discovery // 2) # Minimum 5 minutes
# Run estimate_pages.py
cmd = [sys.executable, str(CLI_DIR / "estimate_pages.py"), config_path, "--max-discovery", str(max_discovery)]
cmd = [
sys.executable,
str(CLI_DIR / "estimate_pages.py"),
config_path,
"--max-discovery",
str(max_discovery),
]
progress_msg = "🔄 Estimating page count...\n"
progress_msg += f"⏱️ Maximum time: {timeout // 60} minutes\n\n"
@@ -328,7 +334,11 @@ async def scrape_pdf_tool(args: dict) -> list[TextContent]:
cmd.extend(["--from-json", from_json])
else:
return [TextContent(type="text", text="❌ Error: Must specify --config, --pdf + --name, or --from-json")]
return [
TextContent(
type="text", text="❌ Error: Must specify --config, --pdf + --name, or --from-json"
)
]
# Run pdf_scraper.py with streaming (can take a while)
timeout = 600 # 10 minutes for PDF extraction
@@ -529,7 +539,11 @@ async def detect_patterns_tool(args: dict) -> list[TextContent]:
directory = args.get("directory")
if not file_path and not directory:
return [TextContent(type="text", text="❌ Error: Must specify either 'file' or 'directory' parameter")]
return [
TextContent(
type="text", text="❌ Error: Must specify either 'file' or 'directory' parameter"
)
]
output = args.get("output", "")
depth = args.get("depth", "deep")
@@ -604,7 +618,11 @@ async def extract_test_examples_tool(args: dict) -> list[TextContent]:
directory = args.get("directory")
if not file_path and not directory:
return [TextContent(type="text", text="❌ Error: Must specify either 'file' or 'directory' parameter")]
return [
TextContent(
type="text", text="❌ Error: Must specify either 'file' or 'directory' parameter"
)
]
language = args.get("language", "")
min_confidence = args.get("min_confidence", 0.5)
@@ -688,7 +706,12 @@ async def build_how_to_guides_tool(args: dict) -> list[TextContent]:
"""
input_file = args.get("input")
if not input_file:
return [TextContent(type="text", text="❌ Error: input parameter is required (path to test_examples.json)")]
return [
TextContent(
type="text",
text="❌ Error: input parameter is required (path to test_examples.json)",
)
]
output = args.get("output", "output/codebase/tutorials")
group_by = args.get("group_by", "ai-tutorial-group")

80
src/skill_seekers/mcp/tools/source_tools.py
View File

@@ -76,7 +76,12 @@ async def fetch_config_tool(args: dict) -> list[TextContent]:
# MODE 1: Named Source (highest priority)
if source_name:
if not config_name:
return [TextContent(type="text", text="❌ Error: config_name is required when using source parameter")]
return [
TextContent(
type="text",
text="❌ Error: config_name is required when using source parameter",
)
]
# Get source from registry
source_manager = SourceManager()
@@ -97,7 +102,11 @@ async def fetch_config_tool(args: dict) -> list[TextContent]:
git_repo = GitConfigRepo()
try:
repo_path = git_repo.clone_or_pull(
source_name=source_name, git_url=git_url, branch=branch, token=token, force_refresh=force_refresh
source_name=source_name,
git_url=git_url,
branch=branch,
token=token,
force_refresh=force_refresh,
)
except Exception as e:
return [TextContent(type="text", text=f"❌ Git error: {str(e)}")]
@@ -139,7 +148,12 @@ Next steps:
# MODE 2: Direct Git URL
elif git_url:
if not config_name:
return [TextContent(type="text", text="❌ Error: config_name is required when using git_url parameter")]
return [
TextContent(
type="text",
text="❌ Error: config_name is required when using git_url parameter",
)
]
# Clone/pull repository
git_repo = GitConfigRepo()
@@ -237,7 +251,9 @@ Next steps:
if tags:
result += f" Tags: {tags}\n"
result += "\n💡 To download a config, use: fetch_config with config_name='<name>'\n"
result += (
"\n💡 To download a config, use: fetch_config with config_name='<name>'\n"
)
result += f"📚 API Docs: {API_BASE_URL}/docs\n"
return [TextContent(type="text", text=result)]
@@ -245,7 +261,10 @@ Next steps:
# Download specific config
if not config_name:
return [
TextContent(type="text", text="❌ Error: Please provide config_name or set list_available=true")
TextContent(
type="text",
text="❌ Error: Please provide config_name or set list_available=true",
)
]
# Get config details first
@@ -305,11 +324,14 @@ Next steps:
except httpx.HTTPError as e:
return [
TextContent(
type="text", text=f"❌ HTTP Error: {str(e)}\n\nCheck your internet connection or try again later."
type="text",
text=f"❌ HTTP Error: {str(e)}\n\nCheck your internet connection or try again later.",
)
]
except json.JSONDecodeError as e:
return [TextContent(type="text", text=f"❌ JSON Error: Invalid response from API: {str(e)}")]
return [
TextContent(type="text", text=f"❌ JSON Error: Invalid response from API: {str(e)}")
]
except Exception as e:
return [TextContent(type="text", text=f"❌ Error: {str(e)}")]
@@ -335,7 +357,10 @@ async def submit_config_tool(args: dict) -> list[TextContent]:
from github import Github, GithubException
except ImportError:
return [
TextContent(type="text", text="❌ Error: PyGithub not installed.\n\nInstall with: pip install PyGithub")
TextContent(
type="text",
text="❌ Error: PyGithub not installed.\n\nInstall with: pip install PyGithub",
)
]
# Import config validator
@@ -359,7 +384,9 @@ async def submit_config_tool(args: dict) -> list[TextContent]:
if config_path:
config_file = Path(config_path)
if not config_file.exists():
return [TextContent(type="text", text=f"❌ Error: Config file not found: {config_path}")]
return [
TextContent(type="text", text=f"❌ Error: Config file not found: {config_path}")
]
with open(config_file) as f:
config_data = json.load(f)
@@ -374,7 +401,11 @@ async def submit_config_tool(args: dict) -> list[TextContent]:
return [TextContent(type="text", text=f"❌ Error: Invalid JSON: {str(e)}")]
else:
return [TextContent(type="text", text="❌ Error: Must provide either config_path or config_json")]
return [
TextContent(
type="text", text="❌ Error: Must provide either config_path or config_json"
)
]
# Use ConfigValidator for comprehensive validation
if ConfigValidator is None:
@@ -404,14 +435,20 @@ async def submit_config_tool(args: dict) -> list[TextContent]:
if not is_unified:
# Legacy config - check base_url
base_url = config_data.get("base_url", "")
if base_url and not (base_url.startswith("http://") or base_url.startswith("https://")):
raise ValueError(f"Invalid base_url format: '{base_url}'\nURLs must start with http:// or https://")
if base_url and not (
base_url.startswith("http://") or base_url.startswith("https://")
):
raise ValueError(
f"Invalid base_url format: '{base_url}'\nURLs must start with http:// or https://"
)
else:
# Unified config - check URLs in sources
for idx, source in enumerate(config_data.get("sources", [])):
if source.get("type") == "documentation":
source_url = source.get("base_url", "")
if source_url and not (source_url.startswith("http://") or source_url.startswith("https://")):
if source_url and not (
source_url.startswith("http://") or source_url.startswith("https://")
):
raise ValueError(
f"Source {idx} (documentation): Invalid base_url format: '{source_url}'\nURLs must start with http:// or https://"
)
@@ -453,7 +490,10 @@ Please fix these issues and try again.
# For legacy configs, use name-based detection
name_lower = config_name.lower()
category = "other"
if any(x in name_lower for x in ["react", "vue", "django", "laravel", "fastapi", "astro", "hono"]):
if any(
x in name_lower
for x in ["react", "vue", "django", "laravel", "fastapi", "astro", "hono"]
):
category = "web-frameworks"
elif any(x in name_lower for x in ["godot", "unity", "unreal"]):
category = "game-engines"
@@ -469,12 +509,16 @@ Please fix these issues and try again.
if "max_pages" not in config_data:
warnings.append("⚠️ No max_pages set - will use default (100)")
elif config_data.get("max_pages") in (None, -1):
warnings.append("⚠️ Unlimited scraping enabled - may scrape thousands of pages and take hours")
warnings.append(
"⚠️ Unlimited scraping enabled - may scrape thousands of pages and take hours"
)
else:
# Unified config warnings
for src in config_data.get("sources", []):
if src.get("type") == "documentation" and "max_pages" not in src:
warnings.append("⚠️ No max_pages set for documentation source - will use default (100)")
warnings.append(
"⚠️ No max_pages set for documentation source - will use default (100)"
)
elif src.get("type") == "documentation" and src.get("max_pages") in (None, -1):
warnings.append("⚠️ Unlimited scraping enabled for documentation source")
@@ -529,7 +573,9 @@ Please fix these issues and try again.
# Create issue
issue = repo.create_issue(
title=f"[CONFIG] {config_name}", body=issue_body, labels=["config-submission", "needs-review"]
title=f"[CONFIG] {config_name}",
body=issue_body,
labels=["config-submission", "needs-review"],
)
result = f"""✅ Config submitted successfully!

4
src/skill_seekers/mcp/tools/splitting_tools.py
View File

@@ -183,7 +183,9 @@ async def generate_router(args: dict) -> list[TextContent]:
config_files = glob.glob(config_pattern)
if not config_files:
return [TextContent(type="text", text=f"❌ No config files match pattern: {config_pattern}")]
return [
TextContent(type="text", text=f"❌ No config files match pattern: {config_pattern}")
]
# Run generate_router.py
cmd = [