247 lines
9.5 KiB
Python
247 lines
9.5 KiB
Python
# bddk_mcp_module/client.py
|
||
|
||
import httpx
|
||
from typing import List, Optional, Dict, Any
|
||
import logging
|
||
import os
|
||
import re
|
||
import io
|
||
import math
|
||
from urllib.parse import urlparse
|
||
from markitdown import MarkItDown
|
||
|
||
from .models import (
|
||
BddkSearchRequest,
|
||
BddkDecisionSummary,
|
||
BddkSearchResult,
|
||
BddkDocumentMarkdown
|
||
)
|
||
|
||
logger = logging.getLogger(__name__)
|
||
if not logger.hasHandlers():
|
||
logging.basicConfig(
|
||
level=logging.INFO,
|
||
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
|
||
)
|
||
|
||
class BddkApiClient:
|
||
"""
|
||
API client for searching and retrieving BDDK (Banking Regulation Authority) decisions
|
||
using Tavily Search API for discovery and direct HTTP requests for content retrieval.
|
||
"""
|
||
|
||
TAVILY_API_URL = "https://api.tavily.com/search"
|
||
BDDK_BASE_URL = "https://www.bddk.org.tr"
|
||
DOCUMENT_URL_TEMPLATE = "https://www.bddk.org.tr/Mevzuat/DokumanGetir/{document_id}"
|
||
DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000 # Character limit per page
|
||
|
||
def __init__(self, request_timeout: float = 60.0):
|
||
"""Initialize the BDDK API client."""
|
||
self.tavily_api_key = os.getenv("TAVILY_API_KEY")
|
||
if not self.tavily_api_key:
|
||
# Fallback to development token
|
||
self.tavily_api_key = "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"
|
||
logger.info("Using fallback Tavily API token (development token)")
|
||
else:
|
||
logger.info("Using Tavily API key from environment variable")
|
||
|
||
self.http_client = httpx.AsyncClient(
|
||
headers={
|
||
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36"
|
||
},
|
||
timeout=httpx.Timeout(request_timeout)
|
||
)
|
||
self.markitdown = MarkItDown()
|
||
|
||
async def close_client_session(self):
|
||
"""Close the HTTP client session."""
|
||
await self.http_client.aclose()
|
||
logger.info("BddkApiClient: HTTP client session closed.")
|
||
|
||
def _extract_document_id(self, url: str) -> Optional[str]:
|
||
"""Extract document ID from BDDK URL."""
|
||
# Primary pattern: https://www.bddk.org.tr/Mevzuat/DokumanGetir/310
|
||
match = re.search(r'/DokumanGetir/(\d+)', url)
|
||
if match:
|
||
return match.group(1)
|
||
|
||
# Alternative patterns for different BDDK URL formats
|
||
# Pattern: /Liste/55 -> use as document ID
|
||
match = re.search(r'/Liste/(\d+)', url)
|
||
if match:
|
||
return match.group(1)
|
||
|
||
# Pattern: /EkGetir/13?ekId=381 -> use ekId as document ID
|
||
match = re.search(r'ekId=(\d+)', url)
|
||
if match:
|
||
return match.group(1)
|
||
|
||
return None
|
||
|
||
async def search_decisions(
|
||
self,
|
||
request: BddkSearchRequest
|
||
) -> BddkSearchResult:
|
||
"""
|
||
Search for BDDK decisions using Tavily API.
|
||
|
||
Args:
|
||
request: Search request parameters
|
||
|
||
Returns:
|
||
BddkSearchResult with matching decisions
|
||
"""
|
||
try:
|
||
headers = {
|
||
"Content-Type": "application/json",
|
||
"Authorization": f"Bearer {self.tavily_api_key}"
|
||
}
|
||
|
||
# Tavily API request - enhanced for BDDK decision documents
|
||
query = f"{request.keywords} \"Karar Sayısı\""
|
||
payload = {
|
||
"query": query,
|
||
"country": "turkey",
|
||
"include_domains": ["https://www.bddk.org.tr/Mevzuat/DokumanGetir"],
|
||
"max_results": request.pageSize,
|
||
"search_depth": "advanced"
|
||
}
|
||
|
||
# Calculate offset for pagination
|
||
if request.page > 1:
|
||
# Tavily doesn't have direct pagination, so we'll need to handle this
|
||
# For now, we'll just return empty for pages > 1
|
||
logger.warning(f"Tavily API doesn't support pagination. Page {request.page} requested.")
|
||
|
||
response = await self.http_client.post(
|
||
self.TAVILY_API_URL,
|
||
json=payload,
|
||
headers=headers
|
||
)
|
||
response.raise_for_status()
|
||
|
||
data = response.json()
|
||
|
||
# Log raw Tavily response for debugging
|
||
logger.info(f"Tavily returned {len(data.get('results', []))} results")
|
||
|
||
# Convert Tavily results to our format
|
||
decisions = []
|
||
for result in data.get("results", []):
|
||
# Extract document ID from URL
|
||
url = result.get("url", "")
|
||
logger.debug(f"Processing URL: {url}")
|
||
doc_id = self._extract_document_id(url)
|
||
if doc_id:
|
||
decision = BddkDecisionSummary(
|
||
title=result.get("title", "").replace("[PDF] ", "").strip(),
|
||
document_id=doc_id,
|
||
content=result.get("content", "")[:500] # Limit content length
|
||
)
|
||
decisions.append(decision)
|
||
logger.debug(f"Added decision: {decision.title} (ID: {doc_id})")
|
||
else:
|
||
logger.warning(f"Could not extract document ID from URL: {url}")
|
||
|
||
return BddkSearchResult(
|
||
decisions=decisions,
|
||
total_results=len(data.get("results", [])),
|
||
page=request.page,
|
||
pageSize=request.pageSize
|
||
)
|
||
|
||
except httpx.HTTPStatusError as e:
|
||
logger.error(f"HTTP error searching BDDK decisions: {e}")
|
||
if e.response.status_code == 401:
|
||
raise Exception("Tavily API authentication failed. Check API key.")
|
||
raise Exception(f"Failed to search BDDK decisions: {str(e)}")
|
||
except Exception as e:
|
||
logger.error(f"Error searching BDDK decisions: {e}")
|
||
raise Exception(f"Failed to search BDDK decisions: {str(e)}")
|
||
|
||
async def get_document_markdown(
|
||
self,
|
||
document_id: str,
|
||
page_number: int = 1
|
||
) -> BddkDocumentMarkdown:
|
||
"""
|
||
Retrieve a BDDK document and convert it to Markdown format.
|
||
|
||
Args:
|
||
document_id: BDDK document ID (e.g., '310')
|
||
page_number: Page number for paginated content (1-indexed)
|
||
|
||
Returns:
|
||
BddkDocumentMarkdown with paginated content
|
||
"""
|
||
try:
|
||
# Try different URL patterns for BDDK documents
|
||
potential_urls = [
|
||
f"https://www.bddk.org.tr/Mevzuat/DokumanGetir/{document_id}",
|
||
f"https://www.bddk.org.tr/Mevzuat/Liste/{document_id}",
|
||
f"https://www.bddk.org.tr/KurumHakkinda/EkGetir/13?ekId={document_id}",
|
||
f"https://www.bddk.org.tr/KurumHakkinda/EkGetir/5?ekId={document_id}"
|
||
]
|
||
|
||
document_url = None
|
||
response = None
|
||
|
||
# Try each URL pattern until one works
|
||
for url in potential_urls:
|
||
try:
|
||
logger.info(f"Trying BDDK document URL: {url}")
|
||
response = await self.http_client.get(
|
||
url,
|
||
follow_redirects=True
|
||
)
|
||
response.raise_for_status()
|
||
document_url = url
|
||
break
|
||
except httpx.HTTPStatusError:
|
||
continue
|
||
|
||
if not response or not document_url:
|
||
raise Exception(f"Could not find document with ID {document_id}")
|
||
|
||
logger.info(f"Successfully fetched BDDK document from: {document_url}")
|
||
|
||
# Determine content type
|
||
content_type = response.headers.get("content-type", "").lower()
|
||
|
||
# Convert to Markdown based on content type
|
||
if "pdf" in content_type:
|
||
# Handle PDF documents
|
||
pdf_stream = io.BytesIO(response.content)
|
||
result = self.markitdown.convert_stream(pdf_stream, file_extension=".pdf")
|
||
markdown_content = result.text_content
|
||
else:
|
||
# Handle HTML documents
|
||
html_stream = io.BytesIO(response.content)
|
||
result = self.markitdown.convert_stream(html_stream, file_extension=".html")
|
||
markdown_content = result.text_content
|
||
|
||
# Clean up the markdown content
|
||
markdown_content = markdown_content.strip()
|
||
|
||
# Calculate pagination
|
||
total_length = len(markdown_content)
|
||
total_pages = math.ceil(total_length / self.DOCUMENT_MARKDOWN_CHUNK_SIZE)
|
||
|
||
# Extract the requested page
|
||
start_idx = (page_number - 1) * self.DOCUMENT_MARKDOWN_CHUNK_SIZE
|
||
end_idx = start_idx + self.DOCUMENT_MARKDOWN_CHUNK_SIZE
|
||
page_content = markdown_content[start_idx:end_idx]
|
||
|
||
return BddkDocumentMarkdown(
|
||
document_id=document_id,
|
||
markdown_content=page_content,
|
||
page_number=page_number,
|
||
total_pages=total_pages
|
||
)
|
||
|
||
except httpx.HTTPStatusError as e:
|
||
logger.error(f"HTTP error fetching BDDK document {document_id}: {e}")
|
||
raise Exception(f"Failed to fetch BDDK document: {str(e)}")
|
||
except Exception as e:
|
||
logger.error(f"Error processing BDDK document {document_id}: {e}")
|
||
raise Exception(f"Failed to process BDDK document: {str(e)}") |