add rekabet module

.gitignore

@@ -163,3 +163,4 @@ hello.py
 
 *.html
 test_kik_client.py
+debug_rekabet_arama.py

mcp_server_main.py

@@ -73,6 +73,14 @@ from kik_mcp_module.models import (
     KikDocumentMarkdown 
 )
 
+from rekabet_mcp_module.client import RekabetKurumuApiClient
+from rekabet_mcp_module.models import (
+    RekabetKurumuSearchRequest,
+    RekabetSearchResult,
+    RekabetDocument,
+    RekabetKararTuruGuidEnum
+)
+
 
 app = FastMCP(
     name="YargiMCP",
@@ -88,6 +96,17 @@ uyusmazlik_client_instance = UyusmazlikApiClient()
 anayasa_norm_client_instance = AnayasaMahkemesiApiClient()
 anayasa_bireysel_client_instance = AnayasaBireyselBasvuruApiClient()
 kik_client_instance = KikApiClient()
+rekabet_client_instance = RekabetKurumuApiClient()
+
+
+KARAR_TURU_ADI_TO_GUID_ENUM_MAP = {
+    "": RekabetKararTuruGuidEnum.TUMU, 
+    "Birleşme ve Devralma": RekabetKararTuruGuidEnum.BIRLESME_DEVRALMA,
+    "Diğer": RekabetKararTuruGuidEnum.DIGER,
+    "Menfi Tespit ve Muafiyet": RekabetKararTuruGuidEnum.MENFI_TESPIT_MUAFIYET,
+    "Özelleştirme": RekabetKararTuruGuidEnum.OZELLESTIRME,
+    "Rekabet İhlali": RekabetKararTuruGuidEnum.REKABET_IHLALI,
+}
 
 # --- MCP Tools for Yargitay ---
 @app.tool()
@@ -664,6 +683,78 @@ async def get_kik_document_markdown(
             total_pages=1, 
             is_paginated=False
         )
+@app.tool()
+async def search_rekabet_kurumu_decisions(
+    sayfaAdi: Optional[str] = Field(None, description="Search in decision title (Başlık)."),
+    YayinlanmaTarihi: Optional[str] = Field(None, description="Publication date (Yayım Tarihi), e.g., DD.MM.YYYY."),
+    PdfText: Optional[str] = Field(
+        None,
+        description='Search in decision text (Metin). For an exact phrase match, enclose the phrase in double quotes (e.g., "\\"vertical agreement\\" competition). The website indicates that using "" provides more precise results for phrases.'
+    ),
+    KararTuru: Literal[ 
+        "", 
+        "Birleşme ve Devralma",
+        "Diğer",
+        "Menfi Tespit ve Muafiyet",
+        "Özelleştirme",
+        "Rekabet İhlali"
+    ] = Field("", description="Decision type (Karar Türü). Leave empty for 'All'. Options: '', 'Birleşme ve Devralma', 'Diğer', 'Menfi Tespit ve Muafiyet', 'Özelleştirme', 'Rekabet İhlali'."),
+    KararSayisi: Optional[str] = Field(None, description="Decision number (Karar Sayısı)."),
+    KararTarihi: Optional[str] = Field(None, description="Decision date (Karar Tarihi), e.g., DD.MM.YYYY."),
+    page: int = Field(1, ge=1, description="Page number to fetch for the results list.")
+) -> RekabetSearchResult:
+    """
+    Searches decisions of the Turkish Competition Authority (Rekabet Kurumu).
+    For an exact phrase search in the 'PdfText' field, enclose the phrase in double quotes.
+    Example for PdfText: "\\"tender process\\" consultancy"
+    """
+    
+    karar_turu_guid_enum = KARAR_TURU_ADI_TO_GUID_ENUM_MAP.get(KararTuru)
+
+    try:
+        if karar_turu_guid_enum is None: 
+            logger.warning(f"Invalid user-provided KararTuru: '{KararTuru}'. Defaulting to TUMU (all).")
+            karar_turu_guid_enum = RekabetKararTuruGuidEnum.TUMU
+    except Exception as e_map: 
+        logger.error(f"Error mapping KararTuru '{KararTuru}': {e_map}. Defaulting to TUMU.")
+        karar_turu_guid_enum = RekabetKararTuruGuidEnum.TUMU
+
+    search_query = RekabetKurumuSearchRequest(
+        sayfaAdi=sayfaAdi,
+        YayinlanmaTarihi=YayinlanmaTarihi,
+        PdfText=PdfText,
+        KararTuruID=karar_turu_guid_enum, 
+        KararSayisi=KararSayisi,
+        KararTarihi=KararTarihi,
+        page=page
+    )
+    logger.info(f"Tool 'search_rekabet_kurumu_decisions' called. Query: {search_query.model_dump_json(exclude_none=True, indent=2)}")
+    try:
+        # rekabet_client_instance'ın tanımlı olduğunu varsayıyoruz
+        return await rekabet_client_instance.search_decisions(search_query)
+    except Exception as e:
+        logger.exception("Error in tool 'search_rekabet_kurumu_decisions'.")
+        return RekabetSearchResult(decisions=[], retrieved_page_number=page, total_records_found=0, total_pages=0)
+
+@app.tool()
+async def get_rekabet_kurumu_document(
+    karar_id: str = Field(..., description="GUID (kararId) of the Rekabet Kurumu decision. This ID is obtained from search results."),
+    page_number: Optional[int] = Field(1, ge=1, description="Requested page number for the Markdown content converted from PDF (1-indexed). Default is 1.")
+) -> RekabetDocument:
+    """
+    Retrieves information for a specific Turkish Competition Authority (Rekabet Kurumu) decision
+    (landing page metadata, PDF link) and its PDF content converted to paginated Markdown.
+    """
+    logger.info(f"Tool 'get_rekabet_kurumu_document' called. Karar ID: {karar_id}, Markdown Page: {page_number}")
+    
+    current_page_to_fetch = page_number if page_number is not None and page_number >= 1 else 1
+    
+    try:
+        # rekabet_client_instance'ın tanımlı olduğunu varsayıyoruz
+        return await rekabet_client_instance.get_decision_document(karar_id, page_number=current_page_to_fetch)
+    except Exception as e:
+        logger.exception(f"Error in tool 'get_rekabet_kurumu_document'. Karar ID: {karar_id}")
+        raise 
 
 # --- Application Shutdown Handling ---
 def perform_cleanup():
@@ -683,7 +774,8 @@ def perform_cleanup():
         globals().get('uyusmazlik_client_instance'),
         globals().get('anayasa_norm_client_instance'),
         globals().get('anayasa_bireysel_client_instance'),
-        globals().get('kik_client_instance') 
+        globals().get('kik_client_instance'),
+        globals().get('rekabet_client_instance')
     ]
     async def close_all_clients_async():
         tasks = []

pyproject.toml

@@ -7,11 +7,12 @@ requires-python = ">=3.11"
 dependencies = [
     "beautifulsoup4>=4.13.4",
     "httpx>=0.28.1",
-    "markitdown>=0.1.1",
+    "markitdown[pdf]>=0.1.1",
     "pydantic>=2.11.4",
     "aiohttp>=3.11.18",
     "playwright>=1.52.0",
     "fastmcp>=2.5.1",
+    "pypdf>=5.5.0",
 ]
 
 [project.scripts]

rekabet_mcp_module/client.py

@@ -0,0 +1,407 @@
+# rekabet_mcp_module/client.py
+
+import httpx
+from bs4 import BeautifulSoup
+from typing import List, Optional, Tuple, Dict, Any
+import logging
+import html
+import re
+import io # For io.BytesIO
+from urllib.parse import urlencode, urljoin, quote, parse_qs, urlparse
+from markitdown import MarkItDown
+import math
+
+# pypdf for PDF processing (lighter alternative to PyMuPDF)
+from pypdf import PdfReader, PdfWriter # PyPDF2'nin devamı niteliğindeki pypdf
+
+from .models import (
+    RekabetKurumuSearchRequest,
+    RekabetDecisionSummary,
+    RekabetSearchResult,
+    RekabetDocument,
+    RekabetKararTuruGuidEnum
+)
+from pydantic import HttpUrl # Ensure HttpUrl is imported from pydantic
+
+logger = logging.getLogger(__name__)
+if not logger.hasHandlers(): # Pragma: no cover
+    logging.basicConfig(
+        level=logging.INFO,  # Varsayılan log seviyesi
+        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
+    )
+    # Debug betiğinde daha detaylı loglama için seviye ayrıca ayarlanabilir.
+
+class RekabetKurumuApiClient:
+    BASE_URL = "https://www.rekabet.gov.tr"
+    SEARCH_PATH = "/tr/Kararlar"
+    DECISION_LANDING_PATH_TEMPLATE = "/Karar"
+    # PDF sayfa bazlı Markdown döndürüldüğü için bu sabit artık doğrudan kullanılmıyor.
+    # DOCUMENT_MARKDOWN_CHUNK_SIZE = 5000 
+
+    def __init__(self, request_timeout: float = 60.0):
+        self.http_client = httpx.AsyncClient(
+            base_url=self.BASE_URL,
+            headers={
+                "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
+                "Accept-Language": "tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7",
+                "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
+            },
+            timeout=request_timeout,
+            verify=True,
+            follow_redirects=True
+        )
+
+    def _build_search_query_params(self, params: RekabetKurumuSearchRequest) -> List[Tuple[str, str]]:
+        query_params: List[Tuple[str, str]] = []
+        query_params.append(("sayfaAdi", params.sayfaAdi if params.sayfaAdi is not None else ""))
+        query_params.append(("YayinlanmaTarihi", params.YayinlanmaTarihi if params.YayinlanmaTarihi is not None else ""))
+        query_params.append(("PdfText", params.PdfText if params.PdfText is not None else ""))
+        
+        karar_turu_id_value = ""
+        if params.KararTuruID is not None: 
+            karar_turu_id_value = params.KararTuruID.value 
+        query_params.append(("KararTuruID", karar_turu_id_value))
+            
+        query_params.append(("KararSayisi", params.KararSayisi if params.KararSayisi is not None else ""))
+        query_params.append(("KararTarihi", params.KararTarihi if params.KararTarihi is not None else ""))
+        
+        if params.page and params.page > 1:
+            query_params.append(("page", str(params.page)))
+            
+        return query_params
+
+    async def search_decisions(self, params: RekabetKurumuSearchRequest) -> RekabetSearchResult:
+        request_path = self.SEARCH_PATH
+        final_query_params = self._build_search_query_params(params)
+        logger.info(f"RekabetKurumuApiClient: Performing search. Path: {request_path}, Parameters: {final_query_params}")
+        
+        try:
+            response = await self.http_client.get(request_path, params=final_query_params)
+            response.raise_for_status()
+            html_content = response.text
+        except httpx.RequestError as e:
+            logger.error(f"RekabetKurumuApiClient: HTTP request error during search: {e}")
+            raise
+        
+        soup = BeautifulSoup(html_content, 'html.parser')
+        processed_decisions: List[RekabetDecisionSummary] = []
+        total_records: Optional[int] = None
+        total_pages: Optional[int] = None
+        
+        pagination_div = soup.find("div", class_="yazi01")
+        if pagination_div:
+            text_content = pagination_div.get_text(separator=" ", strip=True)
+            total_match = re.search(r"Toplam\s*:\s*(\d+)", text_content)
+            if total_match:
+                try:
+                    total_records = int(total_match.group(1))
+                    logger.debug(f"Total records found from pagination: {total_records}")
+                except ValueError:
+                    logger.warning(f"Could not convert 'Toplam' value to int: {total_match.group(1)}")
+            else:
+                logger.warning("'Toplam :' string not found in pagination section.")
+            
+            results_per_page_assumed = 10 
+            if total_records is not None:
+                calculated_total_pages = math.ceil(total_records / results_per_page_assumed)
+                total_pages = calculated_total_pages if calculated_total_pages > 0 else (1 if total_records > 0 else 0)
+                logger.debug(f"Calculated total pages: {total_pages}")
+            
+            if total_pages is None: # Fallback if total_records couldn't be parsed
+                last_page_link = pagination_div.select_one("li.PagedList-skipToLast a")
+                if last_page_link and last_page_link.has_attr('href'):
+                    qs = parse_qs(urlparse(last_page_link['href']).query)
+                    if 'page' in qs and qs['page']:
+                        try:
+                            total_pages = int(qs['page'][0])
+                            logger.debug(f"Total pages found from 'Last >>' link: {total_pages}")
+                        except ValueError:
+                            logger.warning(f"Could not convert page value from 'Last >>' link to int: {qs['page'][0]}")
+                elif total_records == 0 : total_pages = 0 # If no records, 0 pages
+                elif total_records is not None and total_records > 0 : total_pages = 1 # If records exist but no last page link (e.g. single page)
+                else: logger.warning("'Last >>' link not found in pagination section.")
+        
+        decision_tables_container = soup.find("div", id="kararList")
+        if not decision_tables_container:
+            logger.warning("`div#kararList` (decision list container) not found. HTML structure might have changed or no decisions on this page.")
+        else:
+            decision_tables = decision_tables_container.find_all("table", class_="equalDivide")
+            logger.info(f"Found {len(decision_tables)} 'table' elements with class='equalDivide' for parsing.")
+            
+            if not decision_tables and total_records is not None and total_records > 0 :
+                 logger.warning(f"Page indicates {total_records} records but no decision tables found with class='equalDivide'.")
+
+            for idx, table in enumerate(decision_tables):
+                logger.debug(f"Processing table {idx + 1}...")
+                try:
+                    rows = table.find_all("tr")
+                    if len(rows) != 3: 
+                        logger.warning(f"Table {idx + 1} has an unexpected number of rows ({len(rows)} instead of 3). Skipping. HTML snippet:\n{table.prettify()[:500]}")
+                        continue
+
+                    # Row 1: Publication Date, Decision Number, Related Cases Link
+                    td_elements_r1 = rows[0].find_all("td")
+                    pub_date = td_elements_r1[0].get_text(strip=True) if len(td_elements_r1) > 0 else None
+                    dec_num = td_elements_r1[1].get_text(strip=True) if len(td_elements_r1) > 1 else None
+                    
+                    related_cases_link_tag = td_elements_r1[2].find("a", href=True) if len(td_elements_r1) > 2 else None
+                    related_cases_url_str: Optional[str] = None
+                    karar_id_from_related: Optional[str] = None
+                    if related_cases_link_tag and related_cases_link_tag.has_attr('href'):
+                        related_cases_url_str = urljoin(self.BASE_URL, related_cases_link_tag['href'])
+                        qs_related = parse_qs(urlparse(related_cases_link_tag['href']).query)
+                        if 'kararId' in qs_related and qs_related['kararId']:
+                            karar_id_from_related = qs_related['kararId'][0]
+                    
+                    # Row 2: Decision Date, Decision Type
+                    td_elements_r2 = rows[1].find_all("td")
+                    dec_date = td_elements_r2[0].get_text(strip=True) if len(td_elements_r2) > 0 else None
+                    dec_type_text = td_elements_r2[1].get_text(strip=True) if len(td_elements_r2) > 1 else None
+
+                    # Row 3: Title and Main Decision Link
+                    title_cell = rows[2].find("td", colspan="5")
+                    decision_link_tag = title_cell.find("a", href=True) if title_cell else None
+                    
+                    title_text: Optional[str] = None
+                    decision_landing_url_str: Optional[str] = None 
+                    karar_id_from_main_link: Optional[str] = None
+
+                    if decision_link_tag and decision_link_tag.has_attr('href'):
+                        title_text = decision_link_tag.get_text(strip=True)
+                        href_val = decision_link_tag['href']
+                        if href_val.startswith(self.DECISION_LANDING_PATH_TEMPLATE + "?kararId="): # Ensure it's a decision link
+                            decision_landing_url_str = urljoin(self.BASE_URL, href_val)
+                            qs_main = parse_qs(urlparse(href_val).query)
+                            if 'kararId' in qs_main and qs_main['kararId']:
+                                karar_id_from_main_link = qs_main['kararId'][0]
+                        else:
+                            logger.warning(f"Table {idx+1} decision link has unexpected format: {href_val}")
+                    else:
+                        logger.warning(f"Table {idx+1} could not find title/decision link tag.")
+                    
+                    current_karar_id = karar_id_from_main_link or karar_id_from_related
+
+                    if not current_karar_id: 
+                        logger.warning(f"Table {idx+1} Karar ID not found. Skipping. Title (if any): {title_text}")
+                        continue
+                    
+                    # Convert string URLs to HttpUrl for the model
+                    final_decision_url = HttpUrl(decision_landing_url_str) if decision_landing_url_str else None
+                    final_related_cases_url = HttpUrl(related_cases_url_str) if related_cases_url_str else None
+
+                    processed_decisions.append(RekabetDecisionSummary(
+                        publication_date=pub_date, decision_number=dec_num, decision_date=dec_date,
+                        decision_type_text=dec_type_text, title=title_text, 
+                        decision_url=final_decision_url, 
+                        karar_id=current_karar_id, 
+                        related_cases_url=final_related_cases_url
+                    ))
+                    logger.debug(f"Table {idx+1} parsed successfully: Karar ID '{current_karar_id}', Title '{title_text[:50] if title_text else 'N/A'}...'")
+
+                except Exception as e:
+                    logger.warning(f"RekabetKurumuApiClient: Error parsing decision summary {idx+1}: {e}. Problematic Table HTML:\n{table.prettify()}", exc_info=True)
+                    continue
+        
+        return RekabetSearchResult(
+            decisions=processed_decisions, total_records_found=total_records, 
+            retrieved_page_number=params.page, total_pages=total_pages if total_pages is not None else 0
+        )
+
+    async def _extract_pdf_url_and_landing_page_metadata(self, karar_id: str, landing_page_html: str, landing_page_url: str) -> Dict[str, Any]:
+        soup = BeautifulSoup(landing_page_html, 'html.parser')
+        data: Dict[str, Any] = {
+            "pdf_url": None,
+            "title_on_landing_page": soup.title.string.strip() if soup.title and soup.title.string else f"Rekabet Kurumu Kararı {karar_id}",
+        }
+        # This part needs to be robust and specific to Rekabet Kurumu's landing page structure.
+        # Look for common patterns: direct links, download buttons, embedded viewers.
+        pdf_anchor = soup.find("a", href=re.compile(r"\.pdf(\?|$)", re.IGNORECASE)) # Basic PDF link
+        if not pdf_anchor: # Try other common patterns if the basic one fails
+            # Example: Look for links with specific text or class
+            pdf_anchor = soup.find("a", string=re.compile(r"karar metni|pdf indir", re.IGNORECASE))
+        
+        if pdf_anchor and pdf_anchor.has_attr('href'):
+            pdf_path = pdf_anchor['href']
+            data["pdf_url"] = urljoin(landing_page_url, pdf_path)
+            logger.info(f"PDF link found on landing page (<a>): {data['pdf_url']}")
+        else:
+            iframe_pdf = soup.find("iframe", src=re.compile(r"\.pdf(\?|$)", re.IGNORECASE))
+            if iframe_pdf and iframe_pdf.has_attr('src'):
+                pdf_path = iframe_pdf['src']
+                data["pdf_url"] = urljoin(landing_page_url, pdf_path)
+                logger.info(f"PDF link found on landing page (<iframe>): {data['pdf_url']}")
+            else:
+                embed_pdf = soup.find("embed", src=re.compile(r"\.pdf(\?|$)", re.IGNORECASE), type="application/pdf")
+                if embed_pdf and embed_pdf.has_attr('src'):
+                    pdf_path = embed_pdf['src']
+                    data["pdf_url"] = urljoin(landing_page_url, pdf_path)
+                    logger.info(f"PDF link found on landing page (<embed>): {data['pdf_url']}")
+                else:
+                    logger.warning(f"No PDF link found on landing page {landing_page_url} for kararId {karar_id} using common selectors.")
+        return data
+
+    async def _download_pdf_bytes(self, pdf_url: str) -> Optional[bytes]:
+        try:
+            url_to_fetch = pdf_url if pdf_url.startswith(('http://', 'https://')) else urljoin(self.BASE_URL, pdf_url)
+            logger.info(f"Downloading PDF from: {url_to_fetch}")
+            response = await self.http_client.get(url_to_fetch)
+            response.raise_for_status()
+            pdf_bytes = await response.aread()
+            logger.info(f"PDF content downloaded ({len(pdf_bytes)} bytes) from: {url_to_fetch}")
+            return pdf_bytes
+        except httpx.RequestError as e:
+            logger.error(f"HTTP error downloading PDF from {pdf_url}: {e}")
+        except Exception as e:
+            logger.error(f"General error downloading PDF from {pdf_url}: {e}")
+        return None
+
+    def _extract_single_pdf_page_as_pdf_bytes(self, original_pdf_bytes: bytes, page_number_to_extract: int) -> Tuple[Optional[bytes], int]:
+        total_pages_in_original_pdf = 0
+        single_page_pdf_bytes: Optional[bytes] = None
+        
+        if not original_pdf_bytes:
+            logger.warning("No original PDF bytes provided for page extraction.")
+            return None, 0
+
+        try:
+            pdf_stream = io.BytesIO(original_pdf_bytes)
+            reader = PdfReader(pdf_stream)
+            total_pages_in_original_pdf = len(reader.pages)
+            
+            if not (0 < page_number_to_extract <= total_pages_in_original_pdf):
+                logger.warning(f"Requested page number ({page_number_to_extract}) is out of PDF page range (1-{total_pages_in_original_pdf}).")
+                return None, total_pages_in_original_pdf
+
+            writer = PdfWriter()
+            writer.add_page(reader.pages[page_number_to_extract - 1]) # pypdf is 0-indexed
+            
+            output_pdf_stream = io.BytesIO()
+            writer.write(output_pdf_stream)
+            single_page_pdf_bytes = output_pdf_stream.getvalue()
+            
+            logger.debug(f"Page {page_number_to_extract} of original PDF (total {total_pages_in_original_pdf} pages) extracted as new PDF using pypdf.")
+            
+        except Exception as e:
+            logger.error(f"Error extracting PDF page using pypdf: {e}", exc_info=True)
+            return None, total_pages_in_original_pdf 
+        return single_page_pdf_bytes, total_pages_in_original_pdf
+
+    def _convert_pdf_bytes_to_markdown(self, pdf_bytes: bytes, source_url_for_logging: str) -> Optional[str]:
+        if not pdf_bytes:
+            logger.warning(f"No PDF bytes provided for Markdown conversion (source: {source_url_for_logging}).")
+            return None
+        
+        pdf_stream = io.BytesIO(pdf_bytes)
+        try:
+            md_converter = MarkItDown(enable_plugins=False) 
+            conversion_result = md_converter.convert(pdf_stream) 
+            markdown_text = conversion_result.text_content
+            
+            if not markdown_text:
+                 logger.warning(f"MarkItDown returned empty content from PDF byte stream (source: {source_url_for_logging}). PDF page might be image-based or MarkItDown could not process the PDF stream.")
+            return markdown_text
+        except Exception as e:
+            logger.error(f"MarkItDown conversion error for PDF byte stream (source: {source_url_for_logging}): {e}", exc_info=True)
+            return None
+
+    async def get_decision_document(self, karar_id: str, page_number: int = 1) -> RekabetDocument:
+        if not karar_id:
+             return RekabetDocument(
+                source_landing_page_url=HttpUrl(f"{self.BASE_URL}"), 
+                karar_id=karar_id or "UNKNOWN_KARAR_ID",
+                error_message="karar_id is required.",
+                current_page=1, total_pages=0, is_paginated=False )
+
+        decision_url_path = f"{self.DECISION_LANDING_PATH_TEMPLATE}?kararId={karar_id}"
+        full_landing_page_url = urljoin(self.BASE_URL, decision_url_path)
+        
+        logger.info(f"RekabetKurumuApiClient: Getting decision document: {full_landing_page_url}, Requested PDF Page: {page_number}")
+
+        pdf_url_to_report: Optional[HttpUrl] = None
+        title_to_report: Optional[str] = f"Rekabet Kurumu Kararı {karar_id}" # Default
+        error_message: Optional[str] = None
+        markdown_for_requested_page: Optional[str] = None
+        total_pdf_pages: int = 0
+        
+        try:
+            async with self.http_client.stream("GET", full_landing_page_url) as response:
+                response.raise_for_status()
+                content_type = response.headers.get("content-type", "").lower()
+                final_url_of_response = HttpUrl(str(response.url))
+                original_pdf_bytes: Optional[bytes] = None
+
+                if "application/pdf" in content_type:
+                    logger.info(f"URL {final_url_of_response} is a direct PDF. Processing content.")
+                    pdf_url_to_report = final_url_of_response
+                    original_pdf_bytes = await response.aread()
+                elif "text/html" in content_type:
+                    logger.info(f"URL {final_url_of_response} is an HTML landing page. Looking for PDF link.")
+                    landing_page_html_bytes = await response.aread()
+                    detected_charset = response.charset_encoding or 'utf-8'
+                    try: landing_page_html = landing_page_html_bytes.decode(detected_charset)
+                    except UnicodeDecodeError: landing_page_html = landing_page_html_bytes.decode('utf-8', errors='replace')
+
+                    if landing_page_html.strip():
+                        landing_page_data = self._extract_pdf_url_and_landing_page_metadata(karar_id, landing_page_html, str(final_url_of_response))
+                        pdf_url_str_from_html = landing_page_data.get("pdf_url")
+                        if landing_page_data.get("title_on_landing_page"): title_to_report = landing_page_data.get("title_on_landing_page")
+                        if pdf_url_str_from_html:
+                            pdf_url_to_report = HttpUrl(pdf_url_str_from_html)
+                            original_pdf_bytes = await self._download_pdf_bytes(str(pdf_url_to_report))
+                        else: error_message = (error_message or "") + " PDF URL not found on HTML landing page."
+                    else: error_message = "Decision landing page content is empty."
+                else: error_message = f"Unexpected content type ({content_type}) for URL: {final_url_of_response}"
+
+                if original_pdf_bytes:
+                    single_page_pdf_bytes, total_pdf_pages_from_extraction = self._extract_single_pdf_page_as_pdf_bytes(original_pdf_bytes, page_number)
+                    total_pdf_pages = total_pdf_pages_from_extraction 
+
+                    if single_page_pdf_bytes:
+                        markdown_for_requested_page = self._convert_pdf_bytes_to_markdown(single_page_pdf_bytes, str(pdf_url_to_report or full_landing_page_url))
+                        if not markdown_for_requested_page:
+                            error_message = (error_message or "") + f"; Could not convert page {page_number} of PDF to Markdown."
+                    elif total_pdf_pages > 0 : 
+                        error_message = (error_message or "") + f"; Could not extract page {page_number} from PDF (page may be out of range or extraction failed)."
+                    else: 
+                         error_message = (error_message or "") + "; PDF could not be processed or page count was zero (original PDF might be invalid)."
+                elif not error_message: 
+                    error_message = "PDF content could not be downloaded or identified."
+            
+            is_paginated = total_pdf_pages > 1
+            current_page_final = page_number
+            if total_pdf_pages > 0: 
+                current_page_final = max(1, min(page_number, total_pdf_pages))
+            elif markdown_for_requested_page is None: 
+                current_page_final = 1 
+            
+            # If markdown is None but there was no specific error for markdown conversion (e.g. PDF not found first)
+            # make sure error_message reflects that.
+            if markdown_for_requested_page is None and pdf_url_to_report and not error_message:
+                 error_message = (error_message or "") + "; Failed to produce Markdown from PDF page."
+
+
+            return RekabetDocument(
+                source_landing_page_url=full_landing_page_url, karar_id=karar_id,
+                title_on_landing_page=title_to_report, pdf_url=pdf_url_to_report,
+                markdown_chunk=markdown_for_requested_page, current_page=current_page_final,
+                total_pages=total_pdf_pages, is_paginated=is_paginated,
+                error_message=error_message.strip("; ") if error_message else None )
+
+        except httpx.HTTPStatusError as e: error_msg_detail = f"HTTP Status error {e.response.status_code} while processing decision page."
+        except httpx.RequestError as e: error_msg_detail = f"HTTP Request error while processing decision page: {str(e)}"
+        except Exception as e: error_msg_detail = f"General error while processing decision: {str(e)}"
+        
+        exc_info_flag = not isinstance(e, (httpx.HTTPStatusError, httpx.RequestError)) if 'e' in locals() else True
+        logger.error(f"RekabetKurumuApiClient: Error processing decision {karar_id} from {full_landing_page_url}: {error_msg_detail}", exc_info=exc_info_flag)
+        error_message = (error_message + "; " if error_message else "") + error_msg_detail
+        
+        return RekabetDocument(
+            source_landing_page_url=full_landing_page_url, karar_id=karar_id,
+            title_on_landing_page=title_to_report, pdf_url=pdf_url_to_report,
+            markdown_chunk=None, current_page=page_number, total_pages=0, is_paginated=False,
+            error_message=error_message.strip("; ") if error_message else "An unexpected error occurred." )
+
+    async def close_client_session(self): # Pragma: no cover
+        if hasattr(self, 'http_client') and self.http_client and not self.http_client.is_closed:
+            await self.http_client.aclose()
+            logger.info("RekabetKurumuApiClient: HTTP client session closed.")

rekabet_mcp_module/models.py

@@ -0,0 +1,76 @@
+# rekabet_mcp_module/models.py
+
+from pydantic import BaseModel, Field, HttpUrl
+from typing import List, Optional, Any
+from enum import Enum
+
+# Enum for decision type GUIDs (used by the client and expected by the website)
+class RekabetKararTuruGuidEnum(str, Enum):
+    TUMU = ""  # Represents "All" or "Select Decision Type"
+    BIRLESME_DEVRALMA = "2fff0979-9f9d-42d7-8c2e-a30705889542"  # Merger and Acquisition
+    DIGER = "dda8feaf-c919-405c-9da1-823f22b45ad9"  # Other
+    MENFI_TESPIT_MUAFIYET = "95ccd210-5304-49c5-b9e0-8ee53c50d4e8"  # Negative Clearance and Exemption
+    OZELLESTIRME = "e1f14505-842b-4af5-95d1-312d6de1a541"  # Privatization
+    REKABET_IHLALI = "720614bf-efd1-4dca-9785-b98eb65f2677"  # Competition Infringement
+
+# Enum for user-friendly decision type names (for server tool parameters)
+# These correspond to the display names on the website's select dropdown.
+class RekabetKararTuruAdiEnum(str, Enum):
+    TUMU = "Tümü"  # Corresponds to the empty value "" for GUID, meaning "All"
+    BIRLESME_VE_DEVRALMA = "Birleşme ve Devralma"
+    DIGER = "Diğer"
+    MENFI_TESPIT_VE_MUAFIYET = "Menfi Tespit ve Muafiyet"
+    OZELLESTIRME = "Özelleştirme"
+    REKABET_IHLALI = "Rekabet İhlali"
+
+class RekabetKurumuSearchRequest(BaseModel):
+    """Model for Rekabet Kurumu (Turkish Competition Authority) search request."""
+    sayfaAdi: Optional[str] = Field(None, description="Search in decision title (Başlık).")
+    YayinlanmaTarihi: Optional[str] = Field(None, description="Publication date (Yayım Tarihi), e.g., DD.MM.YYYY.")
+    PdfText: Optional[str] = Field(
+        None,
+        description='Search in decision text (Metin). For an exact phrase match, enclose the phrase in double quotes (e.g., "\\"vertical agreement\\" competition). The website indicates that using "" provides more precise results for phrases.'
+    )
+    # This field uses the GUID enum as it's used by the client to make the actual web request.
+    KararTuruID: Optional[RekabetKararTuruGuidEnum] = Field(RekabetKararTuruGuidEnum.TUMU, description="Decision type (Karar Türü) GUID for internal client use, corresponding to the website's values.")
+    KararSayisi: Optional[str] = Field(None, description="Decision number (Karar Sayısı).")
+    KararTarihi: Optional[str] = Field(None, description="Decision date (Karar Tarihi), e.g., DD.MM.YYYY.")
+    page: int = Field(1, ge=1, description="Page number to fetch for results list.")
+
+class RekabetDecisionSummary(BaseModel):
+    """Model for a single Rekabet Kurumu decision summary from search results."""
+    publication_date: Optional[str] = Field(None, description="Publication Date (Yayımlanma Tarihi).")
+    decision_number: Optional[str] = Field(None, description="Decision Number (Karar Sayısı).")
+    decision_date: Optional[str] = Field(None, description="Decision Date (Karar Tarihi).")
+    decision_type_text: Optional[str] = Field(None, description="Decision Type as text (Karar Türü - metin olarak).")
+    title: Optional[str] = Field(None, description="Decision title or summary text.")
+    decision_url: Optional[HttpUrl] = Field(None, description="URL to the decision's landing page (e.g., /Karar?kararId=...).")
+    karar_id: Optional[str] = Field(None, description="GUID of the decision, extracted from its URL.")
+    related_cases_url: Optional[HttpUrl] = Field(None, description="URL to related court cases page, if available.")
+
+class RekabetSearchResult(BaseModel):
+    """Model for the overall search result for Rekabet Kurumu decisions."""
+    decisions: List[RekabetDecisionSummary]
+    total_records_found: Optional[int] = Field(None, description="Total number of records found matching the query.")
+    retrieved_page_number: int = Field(description="The page number of the results that were retrieved.")
+    total_pages: Optional[int] = Field(None, description="Total number of pages available for the query.")
+
+class RekabetDocument(BaseModel):
+    """
+    Model for a Rekabet Kurumu decision document.
+    Contains metadata from the landing page, a link to the PDF,
+    and the PDF's content converted to paginated Markdown.
+    """
+    source_landing_page_url: HttpUrl = Field(description="The URL of the decision's landing page from which the PDF was identified.")
+    karar_id: str = Field(description="GUID of the decision.")
+    
+    title_on_landing_page: Optional[str] = Field(None, description="Title as found on the landing page (e.g., from <title> tag or a main heading). Could be a generic title if direct PDF.")
+    pdf_url: Optional[HttpUrl] = Field(None, description="Direct URL to the decision PDF document, if successfully found and resolved.")
+    
+    # Fields for Markdown content derived from the PDF
+    markdown_chunk: Optional[str] = Field(None, description="A 5,000 character chunk of the Markdown content derived from the decision PDF.")
+    current_page: int = Field(1, description="The current page number of the PDF-derived markdown chunk (1-indexed).")
+    total_pages: int = Field(1, description="Total number of pages for the full PDF-derived markdown content. Will be 0 if content could not be processed.")
+    is_paginated: bool = Field(False, description="True if the full PDF-derived markdown content is split into multiple pages.")
+    
+    error_message: Optional[str] = Field(None, description="Contains an error message if the document retrieval or processing failed at any stage.")

requirements.txt

@@ -1,7 +1,8 @@
 fastmcp
 httpx
 beautifulsoup4
-markitdown
+markitdown[pdf]
 pydantic
 aiohttp
-playwright 
+playwright
+pypdf