Protokoll #33590

ID33590
Zeitstempel2026-04-21 02:50:19.130656
Clientroot
IP62.246.34.195
Modellclaude-sonnet-4-20250514
Statuscompleted
Tokens1,312 (Input: 651, Output: 661)
Dauer68 ms
Request-Zeit2026-04-21 02:50:19.130656
Response-Zeit2026-04-21 02:50:19.198540

Request

{
    "event": "PreToolUse",
    "tool_name": "Write",
    "tool_input": {
        "file_path": "\/var\/www\/dev.campus.systemische-tools.de\/crawler\/src\/infrastructure\/persistence\/page_repository.py",
        "content": "from __future__ import annotations\n\nfrom dataclasses import replace\n\nfrom src.domain.entities.page import Page\nfrom src.domain.ports.page_repository_port import PageRepositoryPort\nfrom src.infrastructure.persistence.connection import MariaDbConnectionFactory\nfrom src.infrastructure.persistence.mappers.page_mapper import page_to_row, row_to_page\n\n_COLUMNS = (\n    \"crawl_id, url_id, fetched_at, render_mode, http_status, final_url, redirect_chain,\"\n    \" response_time_ms, ttfb_ms, content_type, content_length, content_encoding,\"\n    \" title, title_length, meta_description, meta_description_length, meta_keywords,\"\n    \" meta_robots, canonical, lang, charset, viewport,\"\n    \" og_title, og_description, og_image, og_type, og_url, og_site_name, og_locale,\"\n    \" twitter_card, twitter_title, twitter_description, twitter_image,\"\n    \" h1_count, h1_texts, h2_count, h2_texts, h3_count, h4_count, h5_count, h6_count,\"\n    \" word_count, text_hash, dom_node_count, render_time_ms, lcp_ms, cls, tbt_ms,\"\n    \" screenshot_path, html_raw_path, quality_flags\"\n)\n_PLACEHOLDERS = \", \".join(f\"%({name.strip()})s\" for name in _COLUMNS.split(\",\"))\n_INSERT = f\"INSERT INTO pages ({_COLUMNS}) VALUES ({_PLACEHOLDERS})\"\n_SELECT_BY_ID = \"SELECT * FROM pages WHERE id=%s\"\n_SELECT_BY_CRAWL = (\n    \"SELECT * FROM pages WHERE crawl_id=%s ORDER BY id LIMIT %s OFFSET %s\"\n)\n\n\nclass PageRepository(PageRepositoryPort):\n    def __init__(self, connections: MariaDbConnectionFactory) -> None:\n        self._connections = connections\n\n    def save(self, page: Page) -> Page:\n        with self._connections.session() as conn:\n            cur = conn.cursor()\n            cur.execute(_INSERT, page_to_row(page))\n            return replace(page, id=int(cur.lastrowid))\n\n    def get(self, page_id: int) -> Page | None:\n        with self._connections.session() as conn:\n            cur = conn.cursor(dictionary=True)\n            cur.execute(_SELECT_BY_ID, (page_id,))\n            row = cur.fetchone()\n            return row_to_page(row) if row else None\n\n    def list_by_crawl(self, crawl_id: int, limit: int, offset: int) -> list[Page]:\n        with self._connections.session() as conn:\n            cur = conn.cursor(dictionary=True)\n            cur.execute(_SELECT_BY_CRAWL, (crawl_id, limit, offset))\n            return [row_to_page(r) for r in cur.fetchall()]\n"
    }
}

Response

{
    "tool_response": {
        "type": "create",
        "filePath": "\/var\/www\/dev.campus.systemische-tools.de\/crawler\/src\/infrastructure\/persistence\/page_repository.py",
        "content": "from __future__ import annotations\n\nfrom dataclasses import replace\n\nfrom src.domain.entities.page import Page\nfrom src.domain.ports.page_repository_port import PageRepositoryPort\nfrom src.infrastructure.persistence.connection import MariaDbConnectionFactory\nfrom src.infrastructure.persistence.mappers.page_mapper import page_to_row, row_to_page\n\n_COLUMNS = (\n    \"crawl_id, url_id, fetched_at, render_mode, http_status, final_url, redirect_chain,\"\n    \" response_time_ms, ttfb_ms, content_type, content_length, content_encoding,\"\n    \" title, title_length, meta_description, meta_description_length, meta_keywords,\"\n    \" meta_robots, canonical, lang, charset, viewport,\"\n    \" og_title, og_description, og_image, og_type, og_url, og_site_name, og_locale,\"\n    \" twitter_card, twitter_title, twitter_description, twitter_image,\"\n    \" h1_count, h1_texts, h2_count, h2_texts, h3_count, h4_count, h5_count, h6_count,\"\n    \" word_count, text_hash, dom_node_count, render_time_ms, lcp_ms, cls, tbt_ms,\"\n    \" screenshot_path, html_raw_path, quality_flags\"\n)\n_PLACEHOLDERS = \", \".join(f\"%({name.strip()})s\" for name in _COLUMNS.split(\",\"))\n_INSERT = f\"INSERT INTO pages ({_COLUMNS}) VALUES ({_PLACEHOLDERS})\"\n_SELECT_BY_ID = \"SELECT * FROM pages WHERE id=%s\"\n_SELECT_BY_CRAWL = (\n    \"SELECT * FROM pages WHERE crawl_id=%s ORDER BY id LIMIT %s OFFSET %s\"\n)\n\n\nclass PageRepository(PageRepositoryPort):\n    def __init__(self, connections: MariaDbConnectionFactory) -> None:\n        self._connections = connections\n\n    def save(self, page: Page) -> Page:\n        with self._connections.session() as conn:\n            cur = conn.cursor()\n            cur.execute(_INSERT, page_to_row(page))\n            return replace(page, id=int(cur.lastrowid))\n\n    def get(self, page_id: int) -> Page | None:\n        with self._connections.session() as conn:\n            cur = conn.cursor(dictionary=True)\n            cur.execute(_SELECT_BY_ID, (page_id,))\n            row = cur.fetchone()\n            return row_to_page(row) if row else None\n\n    def list_by_crawl(self, crawl_id: int, limit: int, offset: int) -> list[Page]:\n        with self._connections.session() as conn:\n            cur = conn.cursor(dictionary=True)\n            cur.execute(_SELECT_BY_CRAWL, (crawl_id, limit, offset))\n            return [row_to_page(r) for r in cur.fetchall()]\n",
        "structuredPatch": [],
        "originalFile": null,
        "userModified": false
    }
}
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