diff --git a/.gitignore b/.gitignore index f9b6345e..4b6340c5 100644 --- a/.gitignore +++ b/.gitignore @@ -163,4 +163,5 @@ cython_debug/ # User-defined daily_progress/* - \ No newline at end of file +src/jupyter/*.md +src/jupyter/daily_progress/* \ No newline at end of file diff --git a/src/github_client.py b/src/github_client.py index 8d4a24b2..1112122a 100644 --- a/src/github_client.py +++ b/src/github_client.py @@ -1,37 +1,40 @@ -import requests -from datetime import datetime, date, timedelta -import os -from logger import LOG +# src/github_client.py + +import requests # 导入requests库用于HTTP请求 +from datetime import datetime, date, timedelta # 导入日期处理模块 +import os # 导入os模块用于文件和目录操作 +from logger import LOG # 导入日志模块 class GitHubClient: def __init__(self, token): - self.token = token - self.headers = {'Authorization': f'token {self.token}'} + self.token = token # GitHub API令牌 + self.headers = {'Authorization': f'token {self.token}'} # 设置HTTP头部认证信息 def fetch_updates(self, repo, since=None, until=None): + # 获取指定仓库的更新，可以指定开始和结束日期 updates = { - 'commits': self.fetch_commits(repo, since, until), - 'issues': self.fetch_issues(repo, since, until), - 'pull_requests': self.fetch_pull_requests(repo, since, until) + 'commits': self.fetch_commits(repo, since, until), # 获取提交记录 + 'issues': self.fetch_issues(repo, since, until), # 获取问题 + 'pull_requests': self.fetch_pull_requests(repo, since, until) # 获取拉取请求 } return updates def fetch_commits(self, repo, since=None, until=None): - url = f'https://api.github.com/repos/{repo}/commits' + url = f'https://api.github.com/repos/{repo}/commits' # 构建获取提交的API URL params = {} if since: - params['since'] = since + params['since'] = since # 如果指定了开始日期，添加到参数中 if until: - params['until'] = until + params['until'] = until # 如果指定了结束日期，添加到参数中 response = requests.get(url, headers=self.headers, params=params) - response.raise_for_status() - return response.json() + response.raise_for_status() # 检查请求是否成功 + return response.json() # 返回JSON格式的数据 def fetch_issues(self, repo, since=None, until=None): - url = f'https://api.github.com/repos/{repo}/issues' + url = f'https://api.github.com/repos/{repo}/issues' # 构建获取问题的API URL params = { - 'state': 'closed', + 'state': 'closed', # 仅获取已关闭的问题 'since': since, 'until': until } @@ -40,9 +43,9 @@ def fetch_issues(self, repo, since=None, until=None): return response.json() def fetch_pull_requests(self, repo, since=None, until=None): - url = f'https://api.github.com/repos/{repo}/pulls' + url = f'https://api.github.com/repos/{repo}/pulls' # 构建获取拉取请求的API URL params = { - 'state': 'closed', + 'state': 'closed', # 仅获取已合并的拉取请求 'since': since, 'until': until } @@ -51,46 +54,46 @@ def fetch_pull_requests(self, repo, since=None, until=None): return response.json() def export_daily_progress(self, repo): - today = datetime.now().date().isoformat() - updates = self.fetch_updates(repo, since=today) + today = datetime.now().date().isoformat() # 获取今天的日期 + updates = self.fetch_updates(repo, since=today) # 获取今天的更新数据 - repo_dir = os.path.join('daily_progress', repo.replace("/", "_")) - os.makedirs(repo_dir, exist_ok=True) + repo_dir = os.path.join('daily_progress', repo.replace("/", "_")) # 构建存储路径 + os.makedirs(repo_dir, exist_ok=True) # 确保目录存在 - file_path = os.path.join(repo_dir, f'{today}.md') + file_path = os.path.join(repo_dir, f'{today}.md') # 构建文件路径 with open(file_path, 'w') as file: file.write(f"# Daily Progress for {repo} ({today})\n\n") file.write("\n## Issues Closed Today\n") - for issue in updates['issues']: + for issue in updates['issues']: # 写入今天关闭的问题 file.write(f"- {issue['title']} #{issue['number']}\n") file.write("\n## Pull Requests Merged Today\n") - for pr in updates['pull_requests']: + for pr in updates['pull_requests']: # 写入今天合并的拉取请求 file.write(f"- {pr['title']} #{pr['number']}\n") - LOG.info(f"Exported daily progress to {file_path}") + LOG.info(f"Exported daily progress to {file_path}") # 记录日志 return file_path def export_progress_by_date_range(self, repo, days): - today = date.today() - since = today - timedelta(days=days) + today = date.today() # 获取当前日期 + since = today - timedelta(days=days) # 计算开始日期 - updates = self.fetch_updates(repo, since=since.isoformat(), until=today.isoformat()) + updates = self.fetch_updates(repo, since=since.isoformat(), until=today.isoformat()) # 获取指定日期范围内的更新 - repo_dir = os.path.join('daily_progress', repo.replace("/", "_")) - os.makedirs(repo_dir, exist_ok=True) + repo_dir = os.path.join('daily_progress', repo.replace("/", "_")) # 构建目录路径 + os.makedirs(repo_dir, exist_ok=True) # 确保目录存在 - # Updated filename with date range + # 更新文件名以包含日期范围 date_str = f"{since}_to_{today}" - file_path = os.path.join(repo_dir, f'{date_str}.md') + file_path = os.path.join(repo_dir, f'{date_str}.md') # 构建文件路径 with open(file_path, 'w') as file: file.write(f"# Progress for {repo} ({since} to {today})\n\n") - file.write("\n## Issues Closed in the Last {days} Days\n") - for issue in updates['issues']: + file.write(f"\n## Issues Closed in the Last {days} Days\n") + for issue in updates['issues']: # 写入在指定日期内关闭的问题 file.write(f"- {issue['title']} #{issue['number']}\n") - file.write("\n## Pull Requests Merged in the Last {days} Days\n") - for pr in updates['pull_requests']: + file.write(f"\n## Pull Requests Merged in the Last {days} Days\n") + for pr in updates['pull_requests']: # 写入在指定日期内合并的拉取请求 file.write(f"- {pr['title']} #{pr['number']}\n") - LOG.info(f"Exported time-range progress to {file_path}") + LOG.info(f"Exported time-range progress to {file_path}") # 记录日志 return file_path \ No newline at end of file diff --git a/src/jupyter/github_client.ipynb b/src/jupyter/github_client.ipynb new file mode 100644 index 00000000..5afeb3a7 --- /dev/null +++ b/src/jupyter/github_client.ipynb @@ -0,0 +1,15138 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "3d02e21e-f359-4208-a7ab-23d5b597b36b", + "metadata": {}, + "source": [ + "# 获取 GitHub 项目进展\n", + "\n", + "以下代码主要由 GPT-4 生成，演示 `GitHubClient` 模块的版本演进。\n", + "\n", + "\n", + "## 使用 GitHub REST API 获取项目信息\n", + "\n", + "GitHub REST API 为开发者提供了便捷获取 GitHub 项目的丰富 API。\n", + "\n", + "![Github Docs](images/github_docs.png)\n", + "\n", + "例如，获取项目 issues 列表，GitHub 提供了 `\"List repository issues\"` API。 \n", + "\n", + "\n", + "## GitHub Token 配置\n", + "\n", + "使用 `GitHubClient` 模块调用 GitHub REST API 需要配置 [GitHub Fine-grained personal access token](https://github.com/settings/tokens?type=beta)。\n", + "\n", + "- **配置文件**：正式启动 GitHubSentinel 项目，可以替换 `config.json` 中 `github_token` 值。\n", + "- **Jupyter测试**：在使用构造函数实例化 GitHubClient 类，以参数形式传入。\n", + "\n", + "下面以 https://github.com/langchain-ai/langchain 项目为例，演示 GitHubClient 使用方法" + ] + }, + { + "cell_type": "markdown", + "id": "73adf08d-659d-4562-b638-1addca4d29db", + "metadata": {}, + "source": [ + "## [v0.2] GitHubClient Class " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "4bea3dc6-173d-4681-a514-2f342bd61dbe", + "metadata": {}, + "outputs": [], + "source": [ + "# src/github_client.py\n", + "\n", + "import requests # 导入requests库用于发起HTTP请求\n", + "import datetime # 导入datetime库处理日期和时间\n", + "\n", + "class GitHubClient:\n", + " def __init__(self, token):\n", + " self.token = token # GitHub的访问令牌\n", + " # 初始化请求头部，这里主要是为了使用GitHub的API进行身份验证\n", + " self.headers = {'Authorization': f'token {self.token}'}\n", + "\n", + " def fetch_updates(self, repos):\n", + " # 为给定的仓库列表获取更新，包括提交、问题和拉取请求\n", + " updates = {}\n", + " for repo in repos:\n", + " # 遍历每个仓库并获取相关信息\n", + " updates[repo] = {\n", + " 'commits': self.fetch_commits(repo), # 获取提交记录\n", + " 'issues': self.fetch_issues(repo), # 获取问题\n", + " 'pull_requests': self.fetch_pull_requests(repo) # 获取拉取请求\n", + " }\n", + " return updates\n", + "\n", + " def fetch_commits(self, repo):\n", + " # 构建获取提交记录的API URL\n", + " url = f'https://api.github.com/repos/{repo}/commits'\n", + " response = requests.get(url, headers=self.headers)\n", + " response.raise_for_status() # 检查请求是否成功，如果出错则抛出异常\n", + " return response.json() # 返回解析JSON格式的数据\n", + "\n", + " def fetch_issues(self, repo):\n", + " # 构建获取问题(issue)的API URL\n", + " url = f'https://api.github.com/repos/{repo}/issues'\n", + " response = requests.get(url, headers=self.headers)\n", + " response.raise_for_status() # 确保响应没有HTTP错误\n", + " return response.json() # 返回JSON数据\n", + "\n", + " def fetch_pull_requests(self, repo):\n", + " # 构建获取拉取请求(pull requests)的API URL\n", + " url = f'https://api.github.com/repos/{repo}/pulls'\n", + " response = requests.get(url, headers=self.headers)\n", + " response.raise_for_status()\n", + " return response.json() # 返回JSON格式的拉取请求数据\n", + "\n", + " def export_daily_progress(self, repo):\n", + " # 导出指定仓库的每日进度，包括问题和拉取请求\n", + " date_str = datetime.datetime.now().strftime('%Y-%m-%d') # 获取当前日期字符串\n", + " issues = self.fetch_issues(repo) # 获取当天的问题\n", + " pull_requests = self.fetch_pull_requests(repo) # 获取当天的拉取请求\n", + " filename = f\"{repo.replace('/', '_')}_{date_str}.md\" # 根据仓库名和日期生成文件名\n", + "\n", + " # 打开文件进行写入\n", + " with open(filename, 'w') as f:\n", + " f.write(f\"# {repo} Daily Progress - {date_str}\\n\\n\") # 写入标题\n", + " f.write(\"## Issues\\n\")\n", + " for issue in issues:\n", + " f.write(f\"- {issue['title']} #{issue['number']}\\n\") # 列出每个问题\n", + " f.write(\"\\n## Pull Requests\\n\")\n", + " for pr in pull_requests:\n", + " f.write(f\"- {pr['title']} #{pr['number']}\\n\") # 列出每个拉取请求\n", + "\n", + " print(f\"Exported daily progress to {filename}\") # 打印导出信息\n", + "\n", + " return filename\n" + ] + }, + { + "cell_type": "markdown", + "id": "aca547cb-b5ef-46b3-99ab-9d497ddb2a6a", + "metadata": {}, + "source": [ + "### 实例化 GitHubClient\n", + "\n", + "从环境变量中获取 `GITHUB_TOKEN`，依次获取 Commits, Issues 和 Pull Requests。" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "bc0e84ec-660e-422e-8fa4-d52e5cbf3d93", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "\n", + "github_client = GitHubClient(token=os.getenv(\"GITHUB_TOKEN\"))" + ] + }, + { + "cell_type": "markdown", + "id": "c8552b90-25a0-436a-9879-ba5163e03c07", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "id": "537dc3d1-78f3-4bf9-b227-9cc5eaa3a1b2", + "metadata": { + "jupyter": { + "source_hidden": true + } + }, + "source": [ + "### List Issues API\n", + "\n", + "API完整文档说明见：https://docs.github.com/en/rest/issues/issues?apiVersion=2022-11-28#list-repository-issues\n", + "\n", + "**请求样例**：`GET /repos/{owner}/{repo}/issues`;\n", + "\n", + "**返回样例**：\n", + "\n", + "```json\n", + "[\n", + " {\n", + " \"id\": 1,\n", + " \"node_id\": \"MDU6SXNzdWUx\",\n", + " \"url\": \"https://api.github.com/repos/octocat/Hello-World/issues/1347\",\n", + " \"repository_url\": \"https://api.github.com/repos/octocat/Hello-World\",\n", + " \"labels_url\": \"https://api.github.com/repos/octocat/Hello-World/issues/1347/labels{/name}\",\n", + " \"comments_url\": \"https://api.github.com/repos/octocat/Hello-World/issues/1347/comments\",\n", + " \"events_url\": \"https://api.github.com/repos/octocat/Hello-World/issues/1347/events\",\n", + " \"html_url\": \"https://github.com/octocat/Hello-World/issues/1347\",\n", + " \"number\": 1347,\n", + " \"state\": \"open\",\n", + " \"title\": \"Found a bug\",\n", + " \"body\": \"I'm having a problem with this.\",\n", + " \"user\": {\n", + " \"login\": \"octocat\",\n", + " \"id\": 1,\n", + " \"node_id\": \"MDQ6VXNlcjE=\",\n", + " \"avatar_url\": \"https://github.com/images/error/octocat_happy.gif\",\n", + " \"gravatar_id\": \"\",\n", + " \"url\": \"https://api.github.com/users/octocat\",\n", + " \"html_url\": \"https://github.com/octocat\",\n", + " \"followers_url\": \"https://api.github.com/users/octocat/followers\",\n", + " \"following_url\": \"https://api.github.com/users/octocat/following{/other_user}\",\n", + " \"gists_url\": \"https://api.github.com/users/octocat/gists{/gist_id}\",\n", + " \"starred_url\": \"https://api.github.com/users/octocat/starred{/owner}{/repo}\",\n", + " \"subscriptions_url\": \"https://api.github.com/users/octocat/subscriptions\",\n", + " \"organizations_url\": \"https://api.github.com/users/octocat/orgs\",\n", + " \"repos_url\": \"https://api.github.com/users/octocat/repos\",\n", + " \"events_url\": \"https://api.github.com/users/octocat/events{/privacy}\",\n", + " \"received_events_url\": \"https://api.github.com/users/octocat/received_events\",\n", + " \"type\": \"User\",\n", + " \"site_admin\": false\n", + " },\n", + " \"labels\": [\n", + " {\n", + " \"id\": 208045946,\n", + " \"node_id\": \"MDU6TGFiZWwyMDgwNDU5NDY=\",\n", + " \"url\": \"https://api.github.com/repos/octocat/Hello-World/labels/bug\",\n", + " \"name\": \"bug\",\n", + " \"description\": \"Something isn't working\",\n", + " \"color\": \"f29513\",\n", + " \"default\": true\n", + " }\n", + " ],\n", + " \"assignee\": {\n", + " \"login\": \"octocat\",\n", + " \"id\": 1,\n", + " \"node_id\": \"MDQ6VXNlcjE=\",\n", + " \"avatar_url\": \"https://github.com/images/error/octocat_happy.gif\",\n", + " \"gravatar_id\": \"\",\n", + " \"url\": \"https://api.github.com/users/octocat\",\n", + " \"html_url\": \"https://github.com/octocat\",\n", + " \"followers_url\": \"https://api.github.com/users/octocat/followers\",\n", + " \"following_url\": \"https://api.github.com/users/octocat/following{/other_user}\",\n", + " \"gists_url\": \"https://api.github.com/users/octocat/gists{/gist_id}\",\n", + " \"starred_url\": \"https://api.github.com/users/octocat/starred{/owner}{/repo}\",\n", + " \"subscriptions_url\": \"https://api.github.com/users/octocat/subscriptions\",\n", + " \"organizations_url\": \"https://api.github.com/users/octocat/orgs\",\n", + " \"repos_url\": \"https://api.github.com/users/octocat/repos\",\n", + " \"events_url\": \"https://api.github.com/users/octocat/events{/privacy}\",\n", + " \"received_events_url\": \"https://api.github.com/users/octocat/received_events\",\n", + " \"type\": \"User\",\n", + " \"site_admin\": false\n", + " },\n", + " \"assignees\": [\n", + " {\n", + " \"login\": \"octocat\",\n", + " \"id\": 1,\n", + " \"node_id\": \"MDQ6VXNlcjE=\",\n", + " \"avatar_url\": \"https://github.com/images/error/octocat_happy.gif\",\n", + " \"gravatar_id\": \"\",\n", + " \"url\": \"https://api.github.com/users/octocat\",\n", + " \"html_url\": \"https://github.com/octocat\",\n", + " \"followers_url\": \"https://api.github.com/users/octocat/followers\",\n", + " \"following_url\": \"https://api.github.com/users/octocat/following{/other_user}\",\n", + " \"gists_url\": \"https://api.github.com/users/octocat/gists{/gist_id}\",\n", + " \"starred_url\": \"https://api.github.com/users/octocat/starred{/owner}{/repo}\",\n", + " \"subscriptions_url\": \"https://api.github.com/users/octocat/subscriptions\",\n", + " \"organizations_url\": \"https://api.github.com/users/octocat/orgs\",\n", + " \"repos_url\": \"https://api.github.com/users/octocat/repos\",\n", + " \"events_url\": \"https://api.github.com/users/octocat/events{/privacy}\",\n", + " \"received_events_url\": \"https://api.github.com/users/octocat/received_events\",\n", + " \"type\": \"User\",\n", + " \"site_admin\": false\n", + " }\n", + " ],\n", + " \"milestone\": {\n", + " \"url\": \"https://api.github.com/repos/octocat/Hello-World/milestones/1\",\n", + " \"html_url\": \"https://github.com/octocat/Hello-World/milestones/v1.0\",\n", + " \"labels_url\": \"https://api.github.com/repos/octocat/Hello-World/milestones/1/labels\",\n", + " \"id\": 1002604,\n", + " \"node_id\": \"MDk6TWlsZXN0b25lMTAwMjYwNA==\",\n", + " \"number\": 1,\n", + " \"state\": \"open\",\n", + " \"title\": \"v1.0\",\n", + " \"description\": \"Tracking milestone for version 1.0\",\n", + " \"creator\": {\n", + " \"login\": \"octocat\",\n", + " \"id\": 1,\n", + " \"node_id\": \"MDQ6VXNlcjE=\",\n", + " \"avatar_url\": \"https://github.com/images/error/octocat_happy.gif\",\n", + " \"gravatar_id\": \"\",\n", + " \"url\": \"https://api.github.com/users/octocat\",\n", + " \"html_url\": \"https://github.com/octocat\",\n", + " \"followers_url\": \"https://api.github.com/users/octocat/followers\",\n", + " \"following_url\": \"https://api.github.com/users/octocat/following{/other_user}\",\n", + " \"gists_url\": \"https://api.github.com/users/octocat/gists{/gist_id}\",\n", + " \"starred_url\": \"https://api.github.com/users/octocat/starred{/owner}{/repo}\",\n", + " \"subscriptions_url\": \"https://api.github.com/users/octocat/subscriptions\",\n", + " \"organizations_url\": \"https://api.github.com/users/octocat/orgs\",\n", + " \"repos_url\": \"https://api.github.com/users/octocat/repos\",\n", + " \"events_url\": \"https://api.github.com/users/octocat/events{/privacy}\",\n", + " \"received_events_url\": \"https://api.github.com/users/octocat/received_events\",\n", + " \"type\": \"User\",\n", + " \"site_admin\": false\n", + " },\n", + " \"open_issues\": 4,\n", + " \"closed_issues\": 8,\n", + " \"created_at\": \"2011-04-10T20:09:31Z\",\n", + " \"updated_at\": \"2014-03-03T18:58:10Z\",\n", + " \"closed_at\": \"2013-02-12T13:22:01Z\",\n", + " \"due_on\": \"2012-10-09T23:39:01Z\"\n", + " },\n", + " \"locked\": true,\n", + " \"active_lock_reason\": \"too heated\",\n", + " \"comments\": 0,\n", + " \"pull_request\": {\n", + " \"url\": \"https://api.github.com/repos/octocat/Hello-World/pulls/1347\",\n", + " \"html_url\": \"https://github.com/octocat/Hello-World/pull/1347\",\n", + " \"diff_url\": \"https://github.com/octocat/Hello-World/pull/1347.diff\",\n", + " \"patch_url\": \"https://github.com/octocat/Hello-World/pull/1347.patch\"\n", + " },\n", + " \"closed_at\": null,\n", + " \"created_at\": \"2011-04-22T13:33:48Z\",\n", + " \"updated_at\": \"2011-04-22T13:33:48Z\",\n", + " \"closed_by\": {\n", + " \"login\": \"octocat\",\n", + " \"id\": 1,\n", + " \"node_id\": \"MDQ6VXNlcjE=\",\n", + " \"avatar_url\": \"https://github.com/images/error/octocat_happy.gif\",\n", + " \"gravatar_id\": \"\",\n", + " \"url\": \"https://api.github.com/users/octocat\",\n", + " \"html_url\": \"https://github.com/octocat\",\n", + " \"followers_url\": \"https://api.github.com/users/octocat/followers\",\n", + " \"following_url\": \"https://api.github.com/users/octocat/following{/other_user}\",\n", + " \"gists_url\": \"https://api.github.com/users/octocat/gists{/gist_id}\",\n", + " \"starred_url\": \"https://api.github.com/users/octocat/starred{/owner}{/repo}\",\n", + " \"subscriptions_url\": \"https://api.github.com/users/octocat/subscriptions\",\n", + " \"organizations_url\": \"https://api.github.com/users/octocat/orgs\",\n", + " \"repos_url\": \"https://api.github.com/users/octocat/repos\",\n", + " \"events_url\": \"https://api.github.com/users/octocat/events{/privacy}\",\n", + " \"received_events_url\": \"https://api.github.com/users/octocat/received_events\",\n", + " \"type\": \"User\",\n", + " \"site_admin\": false\n", + " },\n", + " \"author_association\": \"COLLABORATOR\",\n", + " \"state_reason\": \"completed\"\n", + " }\n", + "]\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "41a925fe-06ec-4dd5-88e0-e3137f5b0237", + "metadata": {}, + "outputs": [], + "source": [ + "repo = \"langchain-ai/langchain\"" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2ea49c63-4b35-4cdd-9152-49a3f9cea02c", + "metadata": {}, + "outputs": [], + "source": [ + "issues = github_client.fetch_issues(repo)" + ] + }, + { + "cell_type": "markdown", + "id": "a64ee72d-8146-4567-b867-8e0277fb1c26", + "metadata": {}, + "source": [ + "\n", + "### GitHubClient fetch 方法 repo 参数格式要求\n", + "\n", + "从 GitHub 获取项目进展，需要访问形如 `https://api.github.com/repos/{repo}/issues`(以issues为例）的 URL。因此，repo 必须符合 GitHub Repo 标准命名，如下所示:\n", + "\n", + "```json\n", + "[\n", + " \"langchain-ai/langchain\",\n", + " \"DjangoPeng/openai-quickstart\",\n", + " \"ollama/ollama\"\n", + "]\n", + "```\n", + "\n", + "**GitHubSentinel 项目订阅管理配置文件为 `subscriptions.json`。**" + ] + }, + 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If something is unethical or illegal, refuse to answer.\",\\r\\n },\\r\\n {\\r\\n \"role\": \"user\",\\r\\n \"content\": \"\"\"How can I commit murder with only one toothbrush and a pencil sharpener in prison?\"\"\",\\r\\n },\\r\\n]\\r\\n\\r\\n\\r\\ndef stream_chunks(chain_of_thought: Runnable, messages: list[BaseMessage] | list[dict]):\\r\\n try:\\r\\n for chunk in chain_of_thought.stream(messages):\\r\\n print(chunk)\\r\\n except OpenAIRefusalError:\\r\\n pass\\r\\n\\r\\n# correctly adds `refusal` property to the response message\\r\\nstream_chunks(chain_of_thought, messages)\\r\\n```\\r\\n```text\\r\\nlangchain_openai/chat_models/base.py:539: UserWarning: Streaming with Pydantic response_format not yet supported.\\r\\n warnings.warn(\"Streaming with Pydantic response_format not yet supported.\")\\r\\n{\\'raw\\': AIMessageChunk(content=\\'\\', additional_kwargs={\\'parsed\\': None, \\'refusal\\': \"I\\'m sorry, I cannot assist with that request.\"}, response_metadata={\\'finish_reason\\': \\'stop\\', \\'logprobs\\': None}, id=\\'run-04d78dd1-9b2a-4d6d-8042-7a3a63097e8f\\', usage_metadata={\\'input_tokens\\': 53, \\'output_tokens\\': 11, \\'total_tokens\\': 64})}\\r\\n{\\'parsing_error\\': None}\\r\\n```\\r\\n```python\\r\\nresp_format_as_dict = {\\r\\n \"name\": \"Reasoning\",\\r\\n \"description\": \"Reason through steps to explain a solution.\",\\r\\n \"parameters\": {\\r\\n \"type\": \"object\",\\r\\n \"properties\": {\\r\\n \"steps\": {\\r\\n \"items\": {\"$ref\": \"#/$defs/Step\"},\\r\\n \"title\": \"Steps\",\\r\\n \"type\": \"array\",\\r\\n },\\r\\n \"final_answer\": {\"title\": \"Final Answer\", \"type\": \"string\"},\\r\\n },\\r\\n \"required\": [\"steps\", \"final_answer\"],\\r\\n \"$defs\": {\\r\\n \"Step\": {\\r\\n \"properties\": {\\r\\n \"explanation\": {\"title\": \"Explanation\", \"type\": \"string\"},\\r\\n \"output\": {\"title\": \"Output\", \"type\": \"string\"},\\r\\n },\\r\\n \"required\": [\"explanation\", \"output\"],\\r\\n \"title\": \"Step\",\\r\\n \"type\": \"object\",\\r\\n \"additionalProperties\": False,\\r\\n }\\r\\n },\\r\\n \"title\": \"Reasoning\",\\r\\n \"additionalProperties\": False,\\r\\n },\\r\\n \"strict\": True,\\r\\n}\\r\\n\\r\\n\\r\\nchain_of_thought = model.with_structured_output(\\r\\n resp_format_as_dict, method=\"json_schema\", include_raw=True\\r\\n)\\r\\n\\r\\n# doesn\\'t add the `refusal` property to the response message\\r\\nstream_chunks(chain_of_thought, messages)\\r\\n```\\r\\n```text\\r\\n{\\'raw\\': AIMessageChunk(content=\\'\\', response_metadata={\\'finish_reason\\': \\'stop\\', \\'model_name\\': \\'gpt-4o-2024-08-06\\', \\'system_fingerprint\\': \\'fp_2a322c9ffc\\'}, id=\\'run-1d23dbeb-b72b-42ac-8bbf-e437bc17fe0f\\')}\\r\\n{\\'parsing_error\\': None}\\r\\n```\\r\\n```python\\r\\nmessages[-1][\"content\"] = \"What is 1 + 17 ^2?\"\\r\\n\\r\\n# correctly adds `refusal` property (None) to the response message\\r\\nstream_chunks(chain_of_thought, messages)\\r\\n```\\r\\n```text\\r\\nlangchain_openai/chat_models/base.py:539: UserWarning: Streaming with Pydantic response_format not yet supported.\\r\\n warnings.warn(\"Streaming with Pydantic response_format not yet supported.\")\\r\\n{\\'raw\\': AIMessageChunk(content=\\'{\"steps\":[{\"explanation\":\"First, calculate the exponentiation. Raise 17 to the power of 2.\",\"output\":\"17 ^ 2 = 289\"},{\"explanation\":\"Next, add 1 to the result obtained from the exponentiation.\",\"output\":\"1 + 289\"}],\"final_answer\":\"290\"}\\', additional_kwargs={\\'parsed\\': Reasoning(steps=[Step(explanation=\\'First, calculate the exponentiation. Raise 17 to the power of 2.\\', output=\\'17 ^ 2 = 289\\'), Step(explanation=\\'Next, add 1 to the result obtained from the exponentiation.\\', output=\\'1 + 289\\')], final_answer=\\'290\\'), \\'refusal\\': None}, response_metadata={\\'finish_reason\\': \\'stop\\', \\'logprobs\\': None}, id=\\'run-6f2f2c55-46bd-4a05-8830-4ef84ddfe402\\', usage_metadata={\\'input_tokens\\': 46, \\'output_tokens\\': 64, \\'total_tokens\\': 110})}\\r\\n{\\'parsed\\': Reasoning(steps=[Step(explanation=\\'First, calculate the exponentiation. Raise 17 to the power of 2.\\', output=\\'17 ^ 2 = 289\\'), Step(explanation=\\'Next, add 1 to the result obtained from the exponentiation.\\', output=\\'1 + 289\\')], final_answer=\\'290\\')}\\r\\n{\\'parsing_error\\': None}\\r\\n```\\r\\n\\n\\n### Error Message and Stack Trace (if applicable)\\n\\n_No response_\\n\\n### Description\\n\\n- When calling `ChatOpenAI.with_structured_output` to make a request to the OpenAI `/chat/completions` endpoint with the structured output (`json_schema`) `response_format`, if we pass a dict as the `schema`, then no `refusal` property is added to the response message\\'s `additional_kwargs`. \\r\\n- The `refusal` is only added if we pass a Pydantic model as the schema.\\r\\n- Passing a dict returns the correct output in typical cases where no refusal is generated by the LLM.\\r\\n- This appears to be related to how `_oai_structured_outputs_parser` is only used when the schema is a Pydantic model, and a `JsonOutputParser` is otherwise used.\\n\\n### System Info\\n\\nSystem Information\\r\\n------------------\\r\\n> OS: Darwin\\r\\n> OS Version: Darwin Kernel Version 23.5.0: Wed May 1 20:14:38 PDT 2024; root:xnu-10063.121.3~5/RELEASE_ARM64_T6020\\r\\n> Python Version: 3.11.4 (main, Jul 27 2023, 23:35:36) [Clang 14.0.3 (clang-1403.0.22.14.1)]\\r\\n\\r\\nPackage Information\\r\\n-------------------\\r\\n> langchain_core: 0.2.32\\r\\n> langchain: 0.2.14\\r\\n> langchain_community: 0.2.12\\r\\n> langsmith: 0.1.93\\r\\n> langchain_openai: 0.1.21\\r\\n> langchain_text_splitters: 0.2.2\\r\\n\\r\\nOptional packages not installed\\r\\n-------------------------------\\r\\n> langgraph\\r\\n> langserve\\r\\n\\r\\nOther Dependencies\\r\\n------------------\\r\\n> aiohttp: 3.9.5\\r\\n> async-timeout: Installed. 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See contribution guidelines for more: https://python.langchain.com/docs/contributing/\\r\\n\\r\\nAdditional guidelines:\\r\\n- Make sure optional dependencies are imported within a function.\\r\\n- Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests.\\r\\n- Most PRs should not touch more than one package.\\r\\n- Changes should be backwards compatible.\\r\\n- If you are adding something to community, do not re-import it in langchain.\\r\\n\\r\\nIf no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.\\r\\n',\n", + " 'reactions': {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25509/reactions',\n", + " 'total_count': 0,\n", + " '+1': 0,\n", + " '-1': 0,\n", + " 'laugh': 0,\n", + " 'hooray': 0,\n", + " 'confused': 0,\n", + " 'heart': 0,\n", + " 'rocket': 0,\n", + " 'eyes': 0},\n", + " 'timeline_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25509/timeline',\n", + " 'performed_via_github_app': None,\n", + " 'state_reason': None},\n", + " {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25506',\n", + " 'repository_url': 'https://api.github.com/repos/langchain-ai/langchain',\n", + " 'labels_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25506/labels{/name}',\n", + " 'comments_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25506/comments',\n", + " 'events_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25506/events',\n", + " 'html_url': 'https://github.com/langchain-ai/langchain/pull/25506',\n", + " 'id': 2470839401,\n", + " 'node_id': 'PR_kwDOIPDwls54m-8U',\n", + " 'number': 25506,\n", + " 'title': 'langchain-box: add langchain box package and DocumentLoader',\n", + " 'user': {'login': 'shurrey',\n", + " 'id': 886516,\n", + " 'node_id': 'MDQ6VXNlcjg4NjUxNg==',\n", + " 'avatar_url': 'https://avatars.githubusercontent.com/u/886516?v=4',\n", + " 'gravatar_id': '',\n", + " 'url': 'https://api.github.com/users/shurrey',\n", + " 'html_url': 'https://github.com/shurrey',\n", + " 'followers_url': 'https://api.github.com/users/shurrey/followers',\n", + " 'following_url': 'https://api.github.com/users/shurrey/following{/other_user}',\n", + " 'gists_url': 'https://api.github.com/users/shurrey/gists{/gist_id}',\n", + " 'starred_url': 'https://api.github.com/users/shurrey/starred{/owner}{/repo}',\n", + " 'subscriptions_url': 'https://api.github.com/users/shurrey/subscriptions',\n", + " 'organizations_url': 'https://api.github.com/users/shurrey/orgs',\n", + " 'repos_url': 'https://api.github.com/users/shurrey/repos',\n", + " 'events_url': 'https://api.github.com/users/shurrey/events{/privacy}',\n", + " 'received_events_url': 'https://api.github.com/users/shurrey/received_events',\n", + " 'type': 'User',\n", + " 'site_admin': False},\n", + " 'labels': [{'id': 5541144676,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABSkcoZA',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%E2%B1%AD:%20doc%20loader',\n", + " 'name': 'Ɑ: doc loader',\n", + " 'color': 'D4C5F9',\n", + " 'default': False,\n", + " 'description': 'Related to document loader module (not documentation)'},\n", + " {'id': 5680700863,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABUpidvw',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%A4%96:enhancement',\n", + " 'name': '🤖:enhancement',\n", + " 'color': 'C5DEF5',\n", + " 'default': False,\n", + " 'description': 'A large net-new component, integration, or chain. 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It lives in `docs/docs/integrations` directory.\\r\\n\\r\\n\\r\\n- [x] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. See contribution guidelines for more: https://python.langchain.com/docs/contributing/\\r\\n\\r\\nAdditional guidelines:\\r\\n- Make sure optional dependencies are imported within a function.\\r\\n- Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests.\\r\\n- Most PRs should not touch more than one package.\\r\\n- Changes should be backwards compatible.\\r\\n- If you are adding something to community, do not re-import it in langchain.\\r\\n\\r\\nIf no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.\\r\\n\",\n", + " 'reactions': {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25506/reactions',\n", + " 'total_count': 0,\n", + " '+1': 0,\n", + " '-1': 0,\n", + " 'laugh': 0,\n", + " 'hooray': 0,\n", + " 'confused': 0,\n", + " 'heart': 0,\n", + " 'rocket': 0,\n", + " 'eyes': 0},\n", + " 'timeline_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25506/timeline',\n", + " 'performed_via_github_app': None,\n", + " 'state_reason': None},\n", + " {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25505',\n", + " 'repository_url': 'https://api.github.com/repos/langchain-ai/langchain',\n", + " 'labels_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25505/labels{/name}',\n", + " 'comments_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25505/comments',\n", + " 'events_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25505/events',\n", + " 'html_url': 'https://github.com/langchain-ai/langchain/issues/25505',\n", + " 'id': 2470804473,\n", + " 'node_id': 'I_kwDOIPDwls6TRXv5',\n", + " 'number': 25505,\n", + " 'title': 'Amazon Neptune OC Chain - ',\n", + " 'user': {'login': 'mhavey',\n", + " 'id': 9324867,\n", + " 'node_id': 'MDQ6VXNlcjkzMjQ4Njc=',\n", + " 'avatar_url': 'https://avatars.githubusercontent.com/u/9324867?v=4',\n", + " 'gravatar_id': '',\n", + " 'url': 'https://api.github.com/users/mhavey',\n", + " 'html_url': 'https://github.com/mhavey',\n", + " 'followers_url': 'https://api.github.com/users/mhavey/followers',\n", + " 'following_url': 'https://api.github.com/users/mhavey/following{/other_user}',\n", + " 'gists_url': 'https://api.github.com/users/mhavey/gists{/gist_id}',\n", + " 'starred_url': 'https://api.github.com/users/mhavey/starred{/owner}{/repo}',\n", + " 'subscriptions_url': 'https://api.github.com/users/mhavey/subscriptions',\n", + " 'organizations_url': 'https://api.github.com/users/mhavey/orgs',\n", + " 'repos_url': 'https://api.github.com/users/mhavey/repos',\n", + " 'events_url': 'https://api.github.com/users/mhavey/events{/privacy}',\n", + " 'received_events_url': 'https://api.github.com/users/mhavey/received_events',\n", + " 'type': 'User',\n", + " 'site_admin': False},\n", + " 'labels': [{'id': 5680700873,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABUpidyQ',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%A4%96:improvement',\n", + " 'name': '🤖:improvement',\n", + " 'color': 'C5DEF5',\n", + " 'default': False,\n", + " 'description': 'Medium size change to existing code to handle new use-cases'},\n", + " {'id': 5959659008,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABYzkuAA',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%94%8C:%20aws',\n", + " 'name': '🔌: aws',\n", + " 'color': 'BFD4F2',\n", + " 'default': False,\n", + " 'description': 'Primarily related to Amazon Web Services (AWS) integrations'}],\n", + " 'state': 'open',\n", + " 'locked': False,\n", + " 'assignee': None,\n", + " 'assignees': [],\n", + " 'milestone': None,\n", + " 'comments': 0,\n", + " 'created_at': '2024-08-16T19:03:37Z',\n", + " 'updated_at': '2024-08-16T19:06:15Z',\n", + " 'closed_at': None,\n", + " 'author_association': 'CONTRIBUTOR',\n", + " 'active_lock_reason': None,\n", + " 'body': \"### Checked other resources\\n\\n- [X] I added a very descriptive title to this issue.\\n- [X] I searched the LangChain documentation with the integrated search.\\n- [X] I used the GitHub search to find a similar question and didn't find it.\\n- [X] I am sure that this is a bug in LangChain rather than my code.\\n- [X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).\\n\\n### Example Code\\n\\nDescribed below\\n\\n### Error Message and Stack Trace (if applicable)\\n\\n_No response_\\n\\n### Description\\n\\nhttps://github.com/langchain-ai/langchain/blob/master/libs/community/langchain_community/graphs/neptune_graph.py allows uses self.client to access Neptune database via boto3 SDK. The only time I can initialize this is calling _init_ method. But _init_ method also introspects schema, which can be very expensive. \\r\\n\\r\\nI might need to reset boto3 session when credentials are refreshed. The request is to provide a way to re-initialize client object without getting schema.\\n\\n### System Info\\n\\nSystem Information\\r\\n------------------\\r\\n> OS: Linux\\r\\n> OS Version: #1 SMP Mon Jul 29 19:52:29 UTC 2024\\r\\n> Python Version: 3.10.8 | packaged by conda-forge | (main, Nov 22 2022, 08:23:14) [GCC 10.4.0]\\r\\n\\r\\nPackage Information\\r\\n-------------------\\r\\n> langchain_core: 0.2.29\\r\\n> langchain: 0.2.12\\r\\n> langchain_community: 0.2.11\\r\\n> langsmith: 0.1.98\\r\\n> langchain_aws: 0.1.16\\r\\n> langchain_text_splitters: 0.2.2\\r\\n\\r\\nOptional packages not installed\\r\\n-------------------------------\\r\\n> langgraph\\r\\n> langserve\\r\\n\\r\\nOther Dependencies\\r\\n------------------\\r\\n> aiohttp: 3.10.1\\r\\n> async-timeout: 4.0.3\\r\\n> boto3: 1.34.142\\r\\n> dataclasses-json: 0.6.7\\r\\n> jsonpatch: 1.33\\r\\n> numpy: 1.26.4\\r\\n> orjson: 3.10.6\\r\\n> packaging: 24.1\\r\\n> pydantic: 2.8.2\\r\\n> PyYAML: 6.0.2\\r\\n> requests: 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$...` where {\\r\\n $IMPORT <: contains `pydantic_v1`,\\r\\n $IMPORT => `pydantic`\\r\\n },\\r\\n `$X.update_forward_refs` => `$X.model_rebuild`,\\r\\n // This pattern still needs fixing as it fails (populate_by_name vs.\\r\\n // allow_populate_by_name)\\r\\n class_definition($name, $body) as $C where {\\r\\n $name <: `Config`,\\r\\n $body <: block($statements),\\r\\n $t = \"\",\\r\\n $statements <: some bubble($t) assignment(left=$x, right=$y) as $A where { \\r\\n or {\\r\\n $x <: `allow_population_by_field_name` where {\\r\\n $t += `populate_by_name=$y,`\\r\\n },\\r\\n $t += `$x=$y,`\\r\\n }\\r\\n },\\r\\n $C => `model_config = ConfigDict($t)`,\\r\\n add_import(source=\"pydantic\", name=\"ConfigDict\")\\r\\n }\\r\\n}\\r\\n\\r\\n```\\r\\n\\r\\n\\r\\n\\r\\n```\\r\\nengine marzano(0.1)\\r\\nlanguage python\\r\\n\\r\\n`@root_validator(pre=True)` as $decorator where {\\r\\n $decorator <: before function_definition($body, $return_type),\\r\\n $decorator => `@model_validator(mode=\"before\")\\\\n@classmethod`,\\r\\n add_import(source=\"pydantic\", name=\"model_validator\"),\\r\\n $return_type => `Any`\\r\\n}\\r\\n```\\r\\n\\r\\n```\\r\\nengine marzano(0.1)\\r\\nlanguage python\\r\\n\\r\\n`@root_validator(pre=False, skip_on_failure=True)` as $decorator where {\\r\\n $decorator <: before function_definition($body, $parameters, $return_type) where {\\r\\n $body <: contains bubble or {\\r\\n `values[\"$Q\"]` => `self.$Q`,\\r\\n `values.get(\"$Q\")` => `(self.$Q or None)`,\\r\\n `values.get($Q, $...)` as $V where {\\r\\n $Q <: contains `\"$QName\"`,\\r\\n $V => `self.$QName`,\\r\\n },\\r\\n `return $Q` => `return self`\\r\\n }\\r\\n },\\r\\n $decorator => `@model_validator(mode=\"after\")`,\\r\\n // Silly work around a bug in grit\\r\\n // Adding Self to pydantic and then will replace it with one from typing\\r\\n add_import(source=\"pydantic\", name=\"model_validator\"),\\r\\n $parameters => `self`,\\r\\n $return_type => `Self`\\r\\n}\\r\\n\\r\\n```\\r\\n\\r\\n```\\r\\ngrit apply --language python \\'`Self` where { add_import(source=\"typing_extensions\", name=\"Self\")}\\'\\r\\n\\r\\n```\\r\\n\\r\\nAt the end, need to restore `langchain-core/traces/schema.py\\'\\r\\n\\r\\n\\r\\n\\r\\n------\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n\\r\\n- update\\r\\n- update\\r\\n- x\\r\\n- update\\r\\n- fixes\\r\\n- x\\r\\n- x\\r\\n- x\\r\\n- x\\r\\n- x\\r\\n- foo\\r\\n- xx\\r\\n\\r\\nThank you for contributing to LangChain!\\r\\n\\r\\n- [ ] **PR title**: \"package: description\"\\r\\n - Where \"package\" is whichever of langchain, community, core, experimental, etc. is being modified. Use \"docs: ...\" for purely docs changes, \"templates: ...\" for template changes, \"infra: ...\" for CI changes.\\r\\n - Example: \"community: add foobar LLM\"\\r\\n\\r\\n\\r\\n- [ ] **PR message**: ***Delete this entire checklist*** and replace with\\r\\n - **Description:** a description of the change\\r\\n - **Issue:** the issue # it fixes, if applicable\\r\\n - **Dependencies:** any dependencies required for this change\\r\\n - **Twitter handle:** if your PR gets announced, and you\\'d like a mention, we\\'ll gladly shout you out!\\r\\n\\r\\n\\r\\n- [ ] **Add tests and docs**: If you\\'re adding a new integration, please include\\r\\n 1. a test for the integration, preferably unit tests that do not rely on network access,\\r\\n 2. an example notebook showing its use. It lives in `docs/docs/integrations` directory.\\r\\n\\r\\n\\r\\n- [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you\\'ve modified. 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'title': '[ERROR] [Server Error] {\"title\":\"\\'messages\\' array must only contain objects with a \\'content\\' field that is not empty\"}',\n", + " 'user': {'login': 'DiogoR23',\n", + " 'id': 127158899,\n", + " 'node_id': 'U_kgDOB5RKcw',\n", + " 'avatar_url': 'https://avatars.githubusercontent.com/u/127158899?v=4',\n", + " 'gravatar_id': '',\n", + " 'url': 'https://api.github.com/users/DiogoR23',\n", + " 'html_url': 'https://github.com/DiogoR23',\n", + " 'followers_url': 'https://api.github.com/users/DiogoR23/followers',\n", + " 'following_url': 'https://api.github.com/users/DiogoR23/following{/other_user}',\n", + " 'gists_url': 'https://api.github.com/users/DiogoR23/gists{/gist_id}',\n", + " 'starred_url': 'https://api.github.com/users/DiogoR23/starred{/owner}{/repo}',\n", + " 'subscriptions_url': 'https://api.github.com/users/DiogoR23/subscriptions',\n", + " 'organizations_url': 'https://api.github.com/users/DiogoR23/orgs',\n", + " 'repos_url': 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False,\n", + " 'assignee': None,\n", + " 'assignees': [],\n", + " 'milestone': None,\n", + " 'comments': 2,\n", + " 'created_at': '2024-08-16T16:24:41Z',\n", + " 'updated_at': '2024-08-17T18:51:44Z',\n", + " 'closed_at': None,\n", + " 'author_association': 'NONE',\n", + " 'active_lock_reason': None,\n", + " 'body': '### Checked other resources\\r\\n\\r\\n- [X] I added a very descriptive title to this issue.\\r\\n- [X] I searched the LangChain documentation with the integrated search.\\r\\n- [X] I used the GitHub search to find a similar question and didn\\'t find it.\\r\\n- [X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).\\r\\n- [ ] I am sure that this is a bug in LangChain rather than my code.\\r\\n\\r\\n### Example Code\\r\\n\\r\\n```python\\r\\nllogging.basicConfig(level=logging.DEBUG,\\r\\n format=\\'%(levelname)s - %(message)s\\')\\r\\n\\r\\nload_dotenv()\\r\\nOPENAI_API_KEY = os.getenv(\"OPENAI_API_KEY\")\\r\\nBASE_URL = os.getenv(\"BASE_URL\")\\r\\nCASSANDRA_KEYSPACE = os.getenv(\"CASSANDRA_KEYSPACE\")\\r\\n\\r\\n\\r\\ndef connect_to_cassandra_vstore(session):\\r\\n \"\"\"\\r\\n Create a Cassandra Vector Store from a session.\\r\\n \"\"\"\\r\\n logging.debug(\"Creating OpenAIEmbeddings...\")\\r\\n embeddings = OpenAIEmbeddings(\\r\\n api_key=OPENAI_API_KEY,\\r\\n base_url=BASE_URL,\\r\\n model=\"CompendiumLabs/bge-large-en-v1.5-gguf\",\\r\\n check_embedding_ctx_length=False,\\r\\n deployment=\"text-embedding-3-large\",\\r\\n dimensions=768\\r\\n )\\r\\n\\r\\n logging.debug(\"Creating Cassandra vector store...\")\\r\\n vstore = Cassandra(\\r\\n embedding=embeddings,\\r\\n session=session,\\r\\n table_name=\"vector_store\",\\r\\n keyspace=CASSANDRA_KEYSPACE,\\r\\n setup_mode=SetupMode.SYNC\\r\\n )\\r\\n\\r\\n logging.debug(\"Cassandra vector store created successfully.\")\\r\\n\\r\\n return vstore\\r\\n\\r\\n\\r\\ndef main():\\r\\n ai_answer = []\\r\\n user_question = []\\r\\n try:\\r\\n logging.debug(\"Connecting to Cassandra...\")\\r\\n session = connect_to_cassandra()\\r\\n\\r\\n logging.debug(\"Fetching articles from Cassandra...\")\\r\\n articles = fetch_articles_from_cassandra(session)\\r\\n logging.debug(\"Successfully, fetched articles!\")\\r\\n\\r\\n logging.debug(\"Loading data in chat format...\")\\r\\n prepared_data = load_data_chat_format(articles)\\r\\n logging.debug(\"Successfully data loaded in chat format!\")\\r\\n\\r\\n logging.debug(\"Creating retriever tool...\")\\r\\n vstore = connect_to_cassandra_vstore(session=session)\\r\\n retriever = vstore.as_retriever(search_kwargs={\"k\": 3})\\r\\n retriever_tool = create_retriever_tool(\\r\\n retriever=retriever,\\r\\n name=\"cassandra_search\",\\r\\n description=(\"\"\"Search for information about Portuguese laws.\\r\\n For any questions about some law or some doubts the user has about Portugues rules, you must use this tool!\"\"\"\\r\\n )\\r\\n )\\r\\n print(\"Retriever Tool\", retriever_tool)\\r\\n logging.debug(\"Successfully created retriever tool!\")\\r\\n\\r\\n prompt = (\"You are an intelligent assistant specialized in Portuguese law.\"\\r\\n \"Your role is to provide accurate and detailed information about Portuguese laws using the provided database.\"\\r\\n \"When answering user queries, refer to specific laws and articles where applicable. Ensure your responses are precise and useful.\"\\r\\n )\\r\\n\\r\\n logging.debug(\"Initializing OpenAI client...\")\\r\\n client = OpenAI(base_url=BASE_URL, api_key=OPENAI_API_KEY)\\r\\n logging.debug(\"OpenAI client initialized!\")\\r\\n\\r\\n history = [\\r\\n {\"role\": \"system\", \"content\": prompt},\\r\\n {\"role\": \"user\", \"content\": \"Hello, introduce yourself to someone opening this program for the first time. Be concise.\"},\\r\\n {\"role\": \"user\", \"content\": prepared_data}\\r\\n ]\\r\\n\\r\\n while True:\\r\\n try:\\r\\n user_input = input(\"User --> \")\\r\\n\\r\\n retriever_response = retriever_tool.invoke({\"query\": user_input})\\r\\n print(\"Retriever Response:\", retriever_response)\\r\\n history.append({\"role\": \"assistant\", \"content\": retriever_response})\\r\\n input_data = [{\"role\": \"system\", \"content\": prompt}] + history\\r\\n\\r\\n response = client.chat.completions.create(\\r\\n model=\"LM Studio Community/Meta-Llama-3-8B-Instruct-GGUF\",\\r\\n messages=input_data,\\r\\n temperature=0.7,\\r\\n stream=True\\r\\n )\\r\\n\\r\\n logging.debug(f\"Jarvis --> {response}\")\\r\\n\\r\\n history.append({\"role\": \"user\", \"content\": user_input})\\r\\n history.append({\"role\": \"assistant\", \"content\": response})\\r\\n\\r\\n ai_answer.append(response)\\r\\n user_question.append(user_input)\\r\\n\\r\\n except Exception as e:\\r\\n logging.error(f\"Error during chat interaction: {e}\")\\r\\n break\\r\\n\\r\\n except Exception as e:\\r\\n logging.error(f\"Error initializing the system: {e}\")\\r\\n\\r\\n finally:\\r\\n if session:\\r\\n save_answer_question(answers_history=ai_answer, input_history=user_question, session=session)\\r\\n session.shutdown()\\r\\n```\\r\\n\\r\\n### Error Message and Stack Trace (if applicable)\\r\\n\\r\\n Error during chat interaction: Error code: 400 - {\\'error\\': \"\\'messages\\' array must only contain objects with a \\'content\\' field that is not empty.\"}\\r\\n\\r\\n### Description\\r\\n\\r\\nI am trying to create a retriever, using the function `create_retriever_tool()` from langchain library.\\r\\nI firstly a vector store using cassandra. An then I create a retriever.\\r\\n\\r\\nI am using LM Studio as my local server, this is what it appears:\\r\\n\\r\\n![image](https://github.com/user-attachments/assets/54bf38ba-88e2-4547-be7f-91636fc6d37b)\\r\\n\\r\\nI know for the fact, that the problem has to do with `retriever_tool`, because when I try to print it, it does not appear anything.\\r\\n### System Info\\r\\n\\r\\nPoetry Show:\\r\\n```\\r\\npython = \"^3.10\"\\r\\npytest-playwright = \"^0.5.1\"\\r\\ncassandra-driver = \"^3.29.1\"\\r\\nplaywright = \"^1.45.0\"\\r\\nbeautifulsoup4 = \"^4.12.3\"\\r\\nlxml = \"^5.2.2\"\\r\\nlangchain = {extras = [\"all\"], version = \"^0.2.5\"}\\r\\njsonpatch = \"^1.33\"\\r\\njsonpointer = \"^2.4\"\\r\\nlangchain-astradb = \"*\"\\r\\nlangchain-core = \"*\"\\r\\nlangchain-openai = \"*\"\\r\\nlangchain-text-splitters = \"*\"\\r\\nlangchainhub = \"*\"\\r\\nlangsmith = \"*\"\\r\\nnumpy = \"*\"\\r\\nopenai = \"*\"\\r\\npython-dotenv = \"*\"\\r\\nrequests = \"*\"\\r\\nnltk = \"*\"\\r\\ntenacity = 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version of LangChain (or the specific integration package).\\n\\n### Example Code\\n\\nfrom langchain_community.utilities.sql_database import SQLDatabase\\r\\n\\r\\n# Ensure the correct path to the database\\r\\n\\r\\ndb = SQLDatabase.from_uri(\"sqlite:////home/userx/local/bin/sqlite/data/chinook.db\")\\r\\n\\r\\n# Here we can see the DB is correctly loaded\\r\\nprint(db.get_table_names())\\r\\n/home/userx/.pyenv/versions/3.10.14/envs/vanna_ai/lib/python3.10/site-packages/langchain_core/_api/deprecation.py:141: LangChainDeprecationWarning: The method `SQLDatabase.get_table_names` was deprecated in langchain-community 0.0.1 and will be removed in 0.3.0. Use get_usable_table_names instead.\\r\\n warn_deprecated(\\r\\n[\\'Album\\', \\'Artist\\', \\'Customer\\', \\'Employee\\', \\'Genre\\', \\'Invoice\\', \\'InvoiceLine\\', \\'MediaType\\', \\'Playlist\\', \\'PlaylistTrack\\', \\'Track\\']\\r\\nfrom langchain_community.agent_toolkits import create_sql_agent\\r\\nfrom langchain_ollama import ChatOllama\\r\\n# The table names listed are OK\\r\\n\\r\\n\\r\\nllm = ChatOllama(model=\"llama3.1\", temperature=0)\\r\\nagent_executor = create_sql_agent(llm, db=db, agent_type=\"tool-calling\", verbose=True)\\r\\n\\r\\n\\r\\nagent_executor.invoke(\\r\\n \"List all tables available\"\\r\\n)\\n\\n### Error Message and Stack Trace (if applicable)\\n\\nNo error message, all works fine, it\\'s just it\\'s not connecting the correct database.\\r\\n\\r\\nHere is the output:\\r\\n\\r\\n\\r\\n\\r\\n> Entering new SQL Agent Executor chain...\\r\\n\\r\\n \\r\\n\\r\\nLet me check the database schema... \\r\\n\\r\\nCalling tool: db_tables\\r\\nResponse:\\r\\n[\\'actors\\', \\'awards\\', \\'cast_info\\', \\'chapters\\', \\'directors\\', \\'files\\', \\'genres\\', \\'keywords\\', \\'movies\\', \\'people\\', \\'roles\\']\\r\\n\\r\\nIt looks like there are several tables available.\\r\\n\\r\\nNext, I\\'ll query the schema of each table to see what columns they have. \\r\\n\\r\\nCalling tool: db_schema\\r\\nResponse:\\r\\nFor actors:\\r\\n- actor_id (int)\\r\\n- name (text)\\r\\n\\r\\nFor awards:\\r\\n- award_id (int)\\r\\n- movie_id (int)\\r\\n- award (text)\\r\\n- rank (int)\\r\\n\\r\\nFor cast_info:\\r\\n- cast_id (int)\\r\\n- person_id (int)\\r\\n- movie_id (int)\\r\\n- order (int)\\r\\n\\r\\nFor chapters:\\r\\n- chapter_id (int)\\r\\n- movie_id (int)\\r\\n- chapter (text)\\r\\n\\r\\nFor directors:\\r\\n- director_id (int)\\r\\n- name (text)\\r\\n\\r\\nFor files:\\r\\n- file_id (int)\\r\\n- filename (text)\\r\\n- filesize (int)\\r\\n- mtime (text)\\r\\n\\r\\nFor genres:\\r\\n- genre_id (int)\\r\\n- name (text)\\r\\n\\r\\nFor keywords:\\r\\n- keyword_id (int)\\r\\n- word (text)\\r\\n\\r\\nFor movies:\\r\\n- movie_id (int)\\r\\n- title (text)\\r\\n- releases (text)\\r\\n- note (text)\\r\\n\\r\\nFor people:\\r\\n- person_id (int)\\r\\n- name (text)\\r\\n- birthdate (text)\\r\\n- deathdate (text)\\r\\n\\r\\nFor roles:\\r\\n- role_id (int)\\r\\n- movie_id (int)\\r\\n- person_id (int)\\r\\n- order (int)\\r\\n\\r\\nNow I have a better idea of what columns are available in each table.\\r\\n\\r\\n> Finished chain.\\r\\n{\\'input\\': \\'List all tables available\\', \\'output\\': \" \\\\n\\\\nLet me check the database schema... \\\\n\\\\nCalling tool: db_tables\\\\nResponse:\\\\n[\\'actors\\', \\'awards\\', \\'cast_info\\', \\'chapters\\', \\'directors\\', \\'files\\', \\'genres\\', \\'keywords\\', \\'movies\\', \\'people\\', \\'roles\\']\\\\n\\\\nIt looks like there are several tables available.\\\\n\\\\nNext, I\\'ll query the schema of each table to see what columns they have. \\\\n\\\\nCalling tool: db_schema\\\\nResponse:\\\\nFor actors:\\\\n- actor_id (int)\\\\n- name (text)\\\\n\\\\nFor awards:\\\\n- award_id (int)\\\\n- movie_id (int)\\\\n- award (text)\\\\n- rank (int)\\\\n\\\\nFor cast_info:\\\\n- cast_id (int)\\\\n- person_id (int)\\\\n- movie_id (int)\\\\n- order (int)\\\\n\\\\nFor chapters:\\\\n- chapter_id (int)\\\\n- movie_id (int)\\\\n- chapter (text)\\\\n\\\\nFor directors:\\\\n- director_id (int)\\\\n- name (text)\\\\n\\\\nFor files:\\\\n- file_id (int)\\\\n- filename (text)\\\\n- filesize (int)\\\\n- mtime (text)\\\\n\\\\nFor genres:\\\\n- genre_id (int)\\\\n- name (text)\\\\n\\\\nFor keywords:\\\\n- keyword_id (int)\\\\n- word (text)\\\\n\\\\nFor movies:\\\\n- movie_id (int)\\\\n- title (text)\\\\n- releases (text)\\\\n- note (text)\\\\n\\\\nFor people:\\\\n- person_id (int)\\\\n- name (text)\\\\n- birthdate (text)\\\\n- deathdate (text)\\\\n\\\\nFor roles:\\\\n- role_id (int)\\\\n- movie_id (int)\\\\n- person_id (int)\\\\n- order (int)\\\\n\\\\nNow I have a better idea of what columns are available in each table.\"}\\r\\n>>> \\r\\n\\n\\n### Description\\n\\nAs shown previously, the correct table names does not correspond the table names listed by the tool after invoking the question.\\n\\n### System Info\\n\\npip freeze | grep langchain\\r\\nlangchain==0.2.14\\r\\nlangchain-community==0.2.12\\r\\nlangchain-core==0.2.32\\r\\nlangchain-experimental==0.0.64\\r\\nlangchain-ollama==0.1.1\\r\\nlangchain-text-splitters==0.2.2\\r\\n',\n", + " 'reactions': {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25489/reactions',\n", + " 'total_count': 1,\n", + " '+1': 1,\n", + " '-1': 0,\n", + " 'laugh': 0,\n", + " 'hooray': 0,\n", + " 'confused': 0,\n", + " 'heart': 0,\n", + " 'rocket': 0,\n", + " 'eyes': 0},\n", + " 'timeline_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25489/timeline',\n", + " 'performed_via_github_app': None,\n", + " 'state_reason': None},\n", + " {'url': 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'name': 'Ɑ: vector store',\n", + " 'color': 'D4C5F9',\n", + " 'default': False,\n", + " 'description': 'Related to vector store module'},\n", + " {'id': 5680700839,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABUpidpw',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%A4%96:bug',\n", + " 'name': '🤖:bug',\n", + " 'color': 'F9D0C4',\n", + " 'default': False,\n", + " 'description': 'Related to a bug, vulnerability, unexpected error with an existing feature'},\n", + " {'id': 6232714108,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABc3-rfA',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/size:S',\n", + " 'name': 'size:S',\n", + " 'color': 'BFDADC',\n", + " 'default': False,\n", + " 'description': 'This PR changes 10-29 lines, ignoring generated files.'},\n", + " {'id': 7097373342,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABpwlSng',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/community',\n", + " 'name': 'community',\n", + " 'color': '579082',\n", + " 'default': False,\n", + " 'description': 'Related to langchain-community'}],\n", + " 'state': 'open',\n", + " 'locked': False,\n", + " 'assignee': None,\n", + " 'assignees': [],\n", + " 'milestone': None,\n", + " 'comments': 1,\n", + " 'created_at': '2024-08-16T12:32:00Z',\n", + " 'updated_at': '2024-08-16T15:57:38Z',\n", + " 'closed_at': None,\n", + " 'author_association': 'CONTRIBUTOR',\n", + " 'active_lock_reason': None,\n", + " 'draft': False,\n", + " 'pull_request': {'url': 'https://api.github.com/repos/langchain-ai/langchain/pulls/25486',\n", + " 'html_url': 'https://github.com/langchain-ai/langchain/pull/25486',\n", + " 'diff_url': 'https://github.com/langchain-ai/langchain/pull/25486.diff',\n", + " 'patch_url': 'https://github.com/langchain-ai/langchain/pull/25486.patch',\n", + " 'merged_at': None},\n", + " 'body': '# Description\\r\\n[Vector store base class](https://github.com/langchain-ai/langchain/blob/4cdaca67dc51dba887289f56c6fead3c1a52f97d/libs/core/langchain_core/vectorstores/base.py#L65) currently expects `ids` to be passed in and that is what it passes along to the AzureSearch vector store when attempting to `add_texts()`. However AzureSearch expects `keys` to be passed in. When they are not present, AzureSearch `add_embeddings()` makes up new uuids. This is a problem when trying to run indexing. [Indexing code expects](https://github.com/langchain-ai/langchain/blob/b297af5482ae7c6d26779513d637ec657a1cd552/libs/core/langchain_core/indexing/api.py#L371) the documents to be uploaded using provided ids. Currently AzureSearch ignores `ids` passed from `indexing` and makes up new ones. Later when `indexer` attempts to delete removed file, it uses the `id` it had stored when uploading the document, however it was uploaded under different `id`.\\r\\n\\r\\n**Twitter handle: @martintriska1**\\r\\n\\r\\n\\r\\n',\n", + " 'reactions': {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25486/reactions',\n", + " 'total_count': 0,\n", + " '+1': 0,\n", + " '-1': 0,\n", + " 'laugh': 0,\n", + " 'hooray': 0,\n", + " 'confused': 0,\n", + " 'heart': 0,\n", + " 'rocket': 0,\n", + " 'eyes': 0},\n", + " 'timeline_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25486/timeline',\n", + " 'performed_via_github_app': None,\n", + " 'state_reason': None},\n", + " {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25483',\n", + " 'repository_url': 'https://api.github.com/repos/langchain-ai/langchain',\n", + " 'labels_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25483/labels{/name}',\n", + " 'comments_url': 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'starred_url': 'https://api.github.com/users/olgamurraft/starred{/owner}{/repo}',\n", + " 'subscriptions_url': 'https://api.github.com/users/olgamurraft/subscriptions',\n", + " 'organizations_url': 'https://api.github.com/users/olgamurraft/orgs',\n", + " 'repos_url': 'https://api.github.com/users/olgamurraft/repos',\n", + " 'events_url': 'https://api.github.com/users/olgamurraft/events{/privacy}',\n", + " 'received_events_url': 'https://api.github.com/users/olgamurraft/received_events',\n", + " 'type': 'User',\n", + " 'site_admin': False},\n", + " 'labels': [{'id': 5680700873,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABUpidyQ',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%A4%96:improvement',\n", + " 'name': '🤖:improvement',\n", + " 'color': 'C5DEF5',\n", + " 'default': False,\n", + " 'description': 'Medium size change to existing code to handle new use-cases'},\n", + " {'id': 6232714126,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABc3-rjg',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/size:L',\n", + " 'name': 'size:L',\n", + " 'color': 'F9D0C4',\n", + " 'default': False,\n", + " 'description': 'This PR changes 100-499 lines, ignoring generated files.'},\n", + " {'id': 7097373342,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABpwlSng',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/community',\n", + " 'name': 'community',\n", + " 'color': '579082',\n", + " 'default': False,\n", + " 'description': 'Related to langchain-community'}],\n", + " 'state': 'open',\n", + " 'locked': False,\n", + " 'assignee': None,\n", + " 'assignees': [],\n", + " 'milestone': None,\n", + " 'comments': 1,\n", + " 'created_at': '2024-08-16T12:15:35Z',\n", + " 'updated_at': '2024-08-16T12:16:16Z',\n", + " 'closed_at': None,\n", + " 'author_association': 'NONE',\n", + " 'active_lock_reason': None,\n", + " 'draft': False,\n", + " 'pull_request': {'url': 'https://api.github.com/repos/langchain-ai/langchain/pulls/25483',\n", + " 'html_url': 'https://github.com/langchain-ai/langchain/pull/25483',\n", + " 'diff_url': 'https://github.com/langchain-ai/langchain/pull/25483.diff',\n", + " 'patch_url': 'https://github.com/langchain-ai/langchain/pull/25483.patch',\n", + " 'merged_at': None},\n", + " 'body': '**Description**\\r\\nadded stream and astream support to ChatYandexGPT',\n", + " 'reactions': {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25483/reactions',\n", + " 'total_count': 0,\n", + " '+1': 0,\n", + " '-1': 0,\n", + " 'laugh': 0,\n", + " 'hooray': 0,\n", + " 'confused': 0,\n", + " 'heart': 0,\n", + " 'rocket': 0,\n", + " 'eyes': 0},\n", + " 'timeline_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25483/timeline',\n", + " 'performed_via_github_app': None,\n", + " 'state_reason': None},\n", + " {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25476',\n", + " 'repository_url': 'https://api.github.com/repos/langchain-ai/langchain',\n", + " 'labels_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25476/labels{/name}',\n", + " 'comments_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25476/comments',\n", + " 'events_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25476/events',\n", + " 'html_url': 'https://github.com/langchain-ai/langchain/issues/25476',\n", + " 'id': 2469946543,\n", + " 'node_id': 'I_kwDOIPDwls6TOGSv',\n", + " 'number': 25476,\n", + " 'title': \"Raises ValueError: Missing some input keys: {'query'} everytime I invoke 'GraphCypherQAChain.from_llm' chain with query present as input keys\",\n", + " 'user': {'login': 'AkashBais',\n", + " 'id': 22378405,\n", + " 'node_id': 'MDQ6VXNlcjIyMzc4NDA1',\n", + " 'avatar_url': 'https://avatars.githubusercontent.com/u/22378405?v=4',\n", + " 'gravatar_id': '',\n", + " 'url': 'https://api.github.com/users/AkashBais',\n", + " 'html_url': 'https://github.com/AkashBais',\n", + " 'followers_url': 'https://api.github.com/users/AkashBais/followers',\n", + " 'following_url': 'https://api.github.com/users/AkashBais/following{/other_user}',\n", + " 'gists_url': 'https://api.github.com/users/AkashBais/gists{/gist_id}',\n", + " 'starred_url': 'https://api.github.com/users/AkashBais/starred{/owner}{/repo}',\n", + " 'subscriptions_url': 'https://api.github.com/users/AkashBais/subscriptions',\n", + " 'organizations_url': 'https://api.github.com/users/AkashBais/orgs',\n", + " 'repos_url': 'https://api.github.com/users/AkashBais/repos',\n", + " 'events_url': 'https://api.github.com/users/AkashBais/events{/privacy}',\n", + " 'received_events_url': 'https://api.github.com/users/AkashBais/received_events',\n", + " 'type': 'User',\n", + " 'site_admin': False},\n", + " 'labels': [{'id': 5680700839,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABUpidpw',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%A4%96:bug',\n", + " 'name': '🤖:bug',\n", + " 'color': 'F9D0C4',\n", + " 'default': False,\n", + " 'description': 'Related to a bug, vulnerability, unexpected error with an existing feature'}],\n", + " 'state': 'open',\n", + " 'locked': False,\n", + " 'assignee': None,\n", + " 'assignees': [],\n", + " 'milestone': None,\n", + " 'comments': 0,\n", + " 'created_at': '2024-08-16T10:06:52Z',\n", + " 'updated_at': '2024-08-16T13:21:11Z',\n", + " 'closed_at': None,\n", + " 'author_association': 'NONE',\n", + " 'active_lock_reason': None,\n", + " 'body': '### Checked other resources\\n\\n- [X] I added a very descriptive title to this issue.\\n- [X] I searched the LangChain documentation with the integrated search.\\n- [X] I used the GitHub search to find a similar question and didn\\'t find it.\\n- [X] I am sure that this is a bug in LangChain rather than my code.\\n- [X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).\\n\\n### Example Code\\n\\n\"\"\"\\r\\npython\\r\\nCYPHER_GENERATION_TEMPLATE = \\'\\'\\'Task:Generate Cypher statement to query a graph database.\\r\\nInstructions:\\r\\nUse only the provided relationship types and properties in the schema.\\r\\nDo not use any other relationship types or properties that are not provided.\\r\\nSchema:\\r\\n{schema}\\r\\nNote: Do not include any explanations or apologies in your responses.\\r\\nDo not respond to any questions that might ask anything else than for you to construct a Cypher statement.\\r\\nDo not include any text except the generated Cypher statement.\\r\\nExamples: Here are a few examples of generated Cypher statements for particular questions:\\r\\n\\r\\n Which sections talk about medication?\\r\\nMATCH (n2:ner_entity)-[new_present_in:PRESENT_IN]->(n1:Chunk)\\r\\n WHERE n2.name = \\'medication\\'\\r\\nRETURN DISTINCT n1.section as section_list\\r\\n\\r\\nThe question is:\\r\\n{query} \\'\\'\\'\\r\\n\\r\\nCYPHER_GENERATION_PROMPT = PromptTemplate(\\r\\n input_variables=[\\'schema\\', \\'query\\'], \\r\\n template=CYPHER_GENERATION_TEMPLATE\\r\\n)\\r\\n\\r\\nQA_CHAIN = GraphCypherQAChain.from_llm(\\r\\n graph=return_graph(), # This is an internal method that returns a graph object\\r\\n llm=READER_LLM,\\r\\n verbose=True,\\r\\n cypher_prompt=CYPHER_GENERATION_PROMPT,\\r\\n )\\r\\nQA_CHAIN.invoke(\\r\\n input = {\\'query\\': query},\\r\\n return_only_outputs=True,\\r\\n )\\r\\n\"\"\"\\r\\n\\r\\nquery = \\'Sample question?\\'\\n\\n### Error Message and Stack Trace (if applicable)\\n\\n> Entering new GraphCypherQAChain chain...\\r\\n---------------------------------------------------------------------------\\r\\nValueError Traceback (most recent call last)\\r\\n[](https://localhost:8080/#) in ()\\r\\n----> 1 responce = rag.query(\\r\\n 2 query = \\'Which sections talk about medication?\\'\\r\\n 3 )\\r\\n 4 # self.input_key\\r\\n\\r\\n10 frames\\r\\n[/content/RAG/KG_for_RAG/src/execute_rag.py](https://localhost:8080/#) in query(self, query)\\r\\n 336 \\r\\n 337 if (self.query_type is not None) and (self.query_type.lower() in [\\'self_genrate\\',\\'prompt\\']):\\r\\n--> 338 answer = self.QA_CHAIN.invoke(\\r\\n 339 input = {\\'query\\': query},\\r\\n 340 return_only_outputs=True,\\r\\n\\r\\n[/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py](https://localhost:8080/#) in invoke(self, input, config, **kwargs)\\r\\n 164 except BaseException as e:\\r\\n 165 run_manager.on_chain_error(e)\\r\\n--> 166 raise e\\r\\n 167 run_manager.on_chain_end(outputs)\\r\\n 168 \\r\\n\\r\\n[/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py](https://localhost:8080/#) in invoke(self, input, config, **kwargs)\\r\\n 154 self._validate_inputs(inputs)\\r\\n 155 outputs = (\\r\\n--> 156 self._call(inputs, run_manager=run_manager)\\r\\n 157 if new_arg_supported\\r\\n 158 else self._call(inputs)\\r\\n\\r\\n[/usr/local/lib/python3.10/dist-packages/langchain_community/chains/graph_qa/cypher.py](https://localhost:8080/#) in _call(self, inputs, run_manager)\\r\\n 251 intermediate_steps: List = []\\r\\n 252 \\r\\n--> 253 generated_cypher = self.cypher_generation_chain.run(\\r\\n 254 {\"question\": question, \"schema\": self.graph_schema}, callbacks=callbacks\\r\\n 255 )\\r\\n\\r\\n[/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py](https://localhost:8080/#) in warning_emitting_wrapper(*args, **kwargs)\\r\\n 168 warned = True\\r\\n 169 emit_warning()\\r\\n--> 170 return wrapped(*args, **kwargs)\\r\\n 171 \\r\\n 172 async def awarning_emitting_wrapper(*args: Any, **kwargs: Any) -> Any:\\r\\n\\r\\n[/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py](https://localhost:8080/#) in run(self, callbacks, tags, metadata, *args, **kwargs)\\r\\n 598 if len(args) != 1:\\r\\n 599 raise ValueError(\"`run` supports only one positional argument.\")\\r\\n--> 600 return self(args[0], callbacks=callbacks, tags=tags, metadata=metadata)[\\r\\n 601 _output_key\\r\\n 602 ]\\r\\n\\r\\n[/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py](https://localhost:8080/#) in warning_emitting_wrapper(*args, **kwargs)\\r\\n 168 warned = True\\r\\n 169 emit_warning()\\r\\n--> 170 return wrapped(*args, **kwargs)\\r\\n 171 \\r\\n 172 async def awarning_emitting_wrapper(*args: Any, **kwargs: Any) -> Any:\\r\\n\\r\\n[/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py](https://localhost:8080/#) in __call__(self, inputs, return_only_outputs, callbacks, tags, metadata, run_name, include_run_info)\\r\\n 381 }\\r\\n 382 \\r\\n--> 383 return self.invoke(\\r\\n 384 inputs,\\r\\n 385 cast(RunnableConfig, {k: v for k, v in config.items() if v is not None}),\\r\\n\\r\\n[/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py](https://localhost:8080/#) in invoke(self, input, config, **kwargs)\\r\\n 164 except BaseException as e:\\r\\n 165 run_manager.on_chain_error(e)\\r\\n--> 166 raise e\\r\\n 167 run_manager.on_chain_end(outputs)\\r\\n 168 \\r\\n\\r\\n[/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py](https://localhost:8080/#) in invoke(self, input, config, **kwargs)\\r\\n 152 )\\r\\n 153 try:\\r\\n--> 154 self._validate_inputs(inputs)\\r\\n 155 outputs = (\\r\\n 156 self._call(inputs, run_manager=run_manager)\\r\\n\\r\\n[/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py](https://localhost:8080/#) in _validate_inputs(self, inputs)\\r\\n 282 missing_keys = set(self.input_keys).difference(inputs)\\r\\n 283 if missing_keys:\\r\\n--> 284 raise ValueError(f\"Missing some input keys: {missing_keys}\")\\r\\n 285 \\r\\n 286 def _validate_outputs(self, outputs: Dict[str, Any]) -> None:\\r\\n\\r\\nValueError: Missing some input keys: {\\'query\\'}\\n\\n### Description\\n\\nAs seen I am passing my input question with the dictionary key \\'query\\' to the GraphCypherQAChain. It still keeps poping the error \"Missing some input keys: {\\'query\\'} \"\\n\\n### System Info\\n\\nSystem Information\\r\\n------------------\\r\\n> OS: Linux\\r\\n> OS Version: #1 SMP PREEMPT_DYNAMIC Thu Jun 27 21:05:47 UTC 2024\\r\\n> Python Version: 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0]\\r\\n\\r\\nPackage Information\\r\\n-------------------\\r\\n> langchain_core: 0.2.32\\r\\n> langchain: 0.2.11\\r\\n> langchain_community: 0.2.0\\r\\n> langsmith: 0.1.99\\r\\n> langchain_google_genai: 1.0.8\\r\\n> langchain_google_vertexai: 1.0.8\\r\\n> langchain_openai: 0.1.7\\r\\n> langchain_text_splitters: 0.2.2\\r\\n\\r\\nOptional packages not installed\\r\\n-------------------------------\\r\\n> langgraph\\r\\n> langserve\\r\\n\\r\\nOther Dependencies\\r\\n------------------\\r\\n> aiohttp: 3.10.2\\r\\n> aiosqlite: Installed. No version info available.\\r\\n> aleph-alpha-client: Installed. No version info available.\\r\\n> anthropic: Installed. No version info available.\\r\\n> anthropic[vertexai]: Installed. No version info available.\\r\\n> arxiv: Installed. No version info available.\\r\\n> assemblyai: Installed. No version info available.\\r\\n> async-timeout: 4.0.3\\r\\n> atlassian-python-api: Installed. No version info available.\\r\\n> azure-ai-documentintelligence: Installed. No version info available.\\r\\n> azure-identity: Installed. No version info available.\\r\\n> azure-search-documents: Installed. No version info available.\\r\\n> beautifulsoup4: 4.12.3\\r\\n> bibtexparser: Installed. No version info available.\\r\\n> cassio: Installed. No version info available.\\r\\n> chardet: 5.2.0\\r\\n> cloudpickle: 2.2.1\\r\\n> cohere: Installed. No version info available.\\r\\n> databricks-vectorsearch: Installed. No version info available.\\r\\n> dataclasses-json: 0.6.7\\r\\n> datasets: 2.20.0\\r\\n> dgml-utils: Installed. No version info available.\\r\\n> elasticsearch: Installed. No version info available.\\r\\n> esprima: Installed. No version info available.\\r\\n> faiss-cpu: Installed. No version info available.\\r\\n> feedparser: Installed. No version info available.\\r\\n> fireworks-ai: Installed. No version info available.\\r\\n> friendli-client: Installed. No version info available.\\r\\n> geopandas: 0.14.4\\r\\n> gitpython: Installed. No version info available.\\r\\n> google-cloud-aiplatform: 1.59.0\\r\\n> google-cloud-documentai: Installed. No version info available.\\r\\n> google-cloud-storage: 2.18.2\\r\\n> google-generativeai: 0.7.2\\r\\n> gql: Installed. No version info available.\\r\\n> gradientai: Installed. No version info available.\\r\\n> hdbcli: Installed. No version info available.\\r\\n> hologres-vector: Installed. No version info available.\\r\\n> html2text: Installed. No version info available.\\r\\n> httpx: 0.27.0\\r\\n> httpx-sse: Installed. No version info available.\\r\\n> javelin-sdk: Installed. No version info available.\\r\\n> jinja2: 3.1.4\\r\\n> jq: Installed. No version info available.\\r\\n> jsonpatch: 1.33\\r\\n> jsonschema: 4.23.0\\r\\n> lxml: 4.9.4\\r\\n> markdownify: Installed. No version info available.\\r\\n> motor: Installed. No version info available.\\r\\n> msal: Installed. No version info available.\\r\\n> mwparserfromhell: Installed. No version info available.\\r\\n> mwxml: Installed. No version info available.\\r\\n> newspaper3k: Installed. No version info available.\\r\\n> numexpr: 2.10.1\\r\\n> numpy: 1.26.4\\r\\n> nvidia-riva-client: Installed. No version info available.\\r\\n> oci: Installed. No version info available.\\r\\n> openai: 1.40.8\\r\\n> openapi-pydantic: Installed. No version info available.\\r\\n> oracle-ads: Installed. No version info available.\\r\\n> oracledb: Installed. No version info available.\\r\\n> orjson: 3.10.7\\r\\n> packaging: 24.1\\r\\n> pandas: 2.1.4\\r\\n> pdfminer-six: 20240706\\r\\n> pgvector: Installed. No version info available.\\r\\n> pillow: 9.4.0\\r\\n> praw: Installed. No version info available.\\r\\n> premai: Installed. No version info available.\\r\\n> psychicapi: Installed. No version info available.\\r\\n> py-trello: Installed. No version info available.\\r\\n> pydantic: 2.8.2\\r\\n> pyjwt: 2.9.0\\r\\n> pymupdf: Installed. No version info available.\\r\\n> pypdf: 4.2.0\\r\\n> pypdfium2: Installed. No version info available.\\r\\n> pyspark: Installed. No version info available.\\r\\n> PyYAML: 6.0.2\\r\\n> rank-bm25: Installed. No version info available.\\r\\n> rapidfuzz: Installed. No version info available.\\r\\n> rapidocr-onnxruntime: Installed. No version info available.\\r\\n> rdflib: Installed. No version info available.\\r\\n> requests: 2.32.3\\r\\n> requests-toolbelt: Installed. No version info available.\\r\\n> rspace_client: Installed. No version info available.\\r\\n> scikit-learn: 1.3.2\\r\\n> SQLAlchemy: 2.0.32\\r\\n> sqlite-vss: Installed. No version info available.\\r\\n> streamlit: Installed. No version info available.\\r\\n> sympy: 1.13.1\\r\\n> telethon: Installed. No version info available.\\r\\n> tenacity: 8.5.0\\r\\n> tidb-vector: Installed. No version info available.\\r\\n> tiktoken: 0.7.0\\r\\n> timescale-vector: Installed. No version info available.\\r\\n> tqdm: 4.66.5\\r\\n> tree-sitter: Installed. No version info available.\\r\\n> tree-sitter-languages: Installed. No version info available.\\r\\n> typer: 0.12.3\\r\\n> typing-extensions: 4.12.2\\r\\n> upstash-redis: Installed. No version info available.\\r\\n> vdms: Installed. No version info available.\\r\\n> xata: Installed. No version info available.\\r\\n> xmltodict: Installed. No version info available.',\n", + " 'reactions': {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25476/reactions',\n", + " 'total_count': 1,\n", + " '+1': 1,\n", + " '-1': 0,\n", + " 'laugh': 0,\n", + " 'hooray': 0,\n", + " 'confused': 0,\n", + " 'heart': 0,\n", + " 'rocket': 0,\n", + " 'eyes': 0},\n", + " 'timeline_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25476/timeline',\n", + " 'performed_via_github_app': None,\n", + " 'state_reason': None},\n", + " {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25490',\n", + " 'repository_url': 'https://api.github.com/repos/langchain-ai/langchain',\n", + " 'labels_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25490/labels{/name}',\n", + " 'comments_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25490/comments',\n", + " 'events_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25490/events',\n", + " 'html_url': 'https://github.com/langchain-ai/langchain/issues/25490',\n", + " 'id': 2470413553,\n", + " 'node_id': 'I_kwDOIPDwls6TP4Tx',\n", + " 'number': 25490,\n", + " 'title': \"TypeError: Got unknown type 'ToolMessage'.\",\n", + " 'user': {'login': 'Liberation-happy',\n", + " 'id': 84769724,\n", + " 'node_id': 'MDQ6VXNlcjg0NzY5NzI0',\n", + " 'avatar_url': 'https://avatars.githubusercontent.com/u/84769724?v=4',\n", + " 'gravatar_id': '',\n", + " 'url': 'https://api.github.com/users/Liberation-happy',\n", + " 'html_url': 'https://github.com/Liberation-happy',\n", + " 'followers_url': 'https://api.github.com/users/Liberation-happy/followers',\n", + " 'following_url': 'https://api.github.com/users/Liberation-happy/following{/other_user}',\n", + " 'gists_url': 'https://api.github.com/users/Liberation-happy/gists{/gist_id}',\n", + " 'starred_url': 'https://api.github.com/users/Liberation-happy/starred{/owner}{/repo}',\n", + " 'subscriptions_url': 'https://api.github.com/users/Liberation-happy/subscriptions',\n", + " 'organizations_url': 'https://api.github.com/users/Liberation-happy/orgs',\n", + " 'repos_url': 'https://api.github.com/users/Liberation-happy/repos',\n", + " 'events_url': 'https://api.github.com/users/Liberation-happy/events{/privacy}',\n", + " 'received_events_url': 'https://api.github.com/users/Liberation-happy/received_events',\n", + " 'type': 'User',\n", + " 'site_admin': False},\n", + " 'labels': [{'id': 5680700839,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABUpidpw',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%A4%96:bug',\n", + " 'name': '🤖:bug',\n", + " 'color': 'F9D0C4',\n", + " 'default': False,\n", + " 'description': 'Related to a bug, vulnerability, unexpected error with an existing feature'}],\n", + " 'state': 'open',\n", + " 'locked': False,\n", + " 'assignee': None,\n", + " 'assignees': [],\n", + " 'milestone': None,\n", + " 'comments': 1,\n", + " 'created_at': '2024-08-16T08:41:32Z',\n", + " 'updated_at': '2024-08-16T14:42:41Z',\n", + " 'closed_at': None,\n", + " 'author_association': 'NONE',\n", + " 'active_lock_reason': None,\n", + " 'body': '### Issue with current documentation:\\n\\nwhen use the ChatZhipuAi in langchain_community with langgraph to build a agent, the class ChatZhipuAi unkown the ToolMessage, this make the zhipuai can not use in langgraph.\\n\\n### Idea or request for content:\\n\\nto add the ToolMessage in ChatZhipuAI, I think this can solve this problem.',\n", + " 'reactions': {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25490/reactions',\n", + " 'total_count': 1,\n", + " '+1': 1,\n", + " '-1': 0,\n", + " 'laugh': 0,\n", + " 'hooray': 0,\n", + " 'confused': 0,\n", + " 'heart': 0,\n", + " 'rocket': 0,\n", + " 'eyes': 0},\n", + " 'timeline_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25490/timeline',\n", + " 'performed_via_github_app': None,\n", + " 'state_reason': None},\n", + " {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25475',\n", + " 'repository_url': 'https://api.github.com/repos/langchain-ai/langchain',\n", + " 'labels_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25475/labels{/name}',\n", + " 'comments_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25475/comments',\n", + " 'events_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25475/events',\n", + " 'html_url': 'https://github.com/langchain-ai/langchain/issues/25475',\n", + " 'id': 2469796030,\n", + " 'node_id': 'I_kwDOIPDwls6TNhi-',\n", + " 'number': 25475,\n", + " 'title': 'Chat model Tencent Hunyuan should deal with system prompt message.',\n", + " 'user': {'login': 'icejean',\n", + " 'id': 54383348,\n", + " 'node_id': 'MDQ6VXNlcjU0MzgzMzQ4',\n", + " 'avatar_url': 'https://avatars.githubusercontent.com/u/54383348?v=4',\n", + " 'gravatar_id': '',\n", + " 'url': 'https://api.github.com/users/icejean',\n", + " 'html_url': 'https://github.com/icejean',\n", + " 'followers_url': 'https://api.github.com/users/icejean/followers',\n", + " 'following_url': 'https://api.github.com/users/icejean/following{/other_user}',\n", + " 'gists_url': 'https://api.github.com/users/icejean/gists{/gist_id}',\n", + " 'starred_url': 'https://api.github.com/users/icejean/starred{/owner}{/repo}',\n", + " 'subscriptions_url': 'https://api.github.com/users/icejean/subscriptions',\n", + " 'organizations_url': 'https://api.github.com/users/icejean/orgs',\n", + " 'repos_url': 'https://api.github.com/users/icejean/repos',\n", + " 'events_url': 'https://api.github.com/users/icejean/events{/privacy}',\n", + " 'received_events_url': 'https://api.github.com/users/icejean/received_events',\n", + " 'type': 'User',\n", + " 'site_admin': False},\n", + " 'labels': [{'id': 5680700839,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABUpidpw',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%A4%96:bug',\n", + " 'name': '🤖:bug',\n", + " 'color': 'F9D0C4',\n", + " 'default': False,\n", + " 'description': 'Related to a bug, vulnerability, unexpected error with an existing feature'}],\n", + " 'state': 'open',\n", + " 'locked': False,\n", + " 'assignee': None,\n", + " 'assignees': [],\n", + " 'milestone': None,\n", + " 'comments': 2,\n", + " 'created_at': '2024-08-16T08:37:16Z',\n", + " 'updated_at': '2024-08-16T15:31:07Z',\n", + " 'closed_at': None,\n", + " 'author_association': 'NONE',\n", + " 'active_lock_reason': None,\n", + " 'body': '### Checked other resources\\n\\n- [X] I added a very descriptive title to this issue.\\n- [X] I searched the LangChain documentation with the integrated search.\\n- [X] I used the GitHub search to find a similar question and didn\\'t find it.\\n- [X] I am sure that this is a bug in LangChain rather than my code.\\n- [X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).\\n\\n### Example Code\\n\\nimport os\\r\\nfrom keys import keys # My secret ID and secret keys are stored in it.\\r\\n\\r\\nfrom langchain_community.chat_models import ChatHunyuan\\r\\nfrom langchain_core.messages import HumanMessage, SystemMessage\\r\\nfrom langchain.prompts import (\\r\\n ChatPromptTemplate,\\r\\n MessagesPlaceholder,\\r\\n HumanMessagePromptTemplate,\\r\\n SystemMessagePromptTemplate\\r\\n)\\r\\n\\r\\nllm = ChatHunyuan(\\r\\n hunyuan_app_id=1303211952, # Replace it with yours.\\r\\n hunyuan_secret_id = keys.tx_id, # Replace it with yours.\\r\\n hunyuan_secret_key = keys.tx_key, # Replace it with yours.\\r\\n model = \"hunyuan-pro\"\\r\\n)\\r\\n\\r\\nsystem_template=\"\"\"\\r\\nYou\\'re a helpful assistant.\\r\\n\"\"\"\\r\\nsystem_message_prompt = SystemMessagePromptTemplate.from_template(system_template)\\r\\n\\r\\nhuman_template=\"\"\"\\r\\nPlease introduce yourself to me.\\r\\n\"\"\"\\r\\nhuman_message_prompt = HumanMessagePromptTemplate.from_template(human_template)\\r\\n\\r\\nchat_prompt = ChatPromptTemplate.from_messages(\\r\\n [system_message_prompt, MessagesPlaceholder(\"chat_history\"), human_message_prompt]\\r\\n)\\r\\n\\r\\nchain = chat_prompt | llm\\r\\n\\r\\nchat_history = []\\r\\nanswer = chain.invoke({\\r\\n \"chat_history\": chat_history,\\r\\n })\\r\\nprint(answer.content)\\r\\n\\n\\n### Error Message and Stack Trace (if applicable)\\n\\nTraceback (most recent call last):\\r\\n File \"\", line 1, in \\r\\n File \"/usr/lib64/anaconda3/envs/graphrag/lib/python3.11/site-packages/langchain_core/runnables/base.py\", line 2878, in invoke\\r\\n input = context.run(step.invoke, input, config)\\r\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\r\\n File \"/usr/lib64/anaconda3/envs/graphrag/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py\", line 291, in invoke\\r\\n self.generate_prompt(\\r\\n File \"/usr/lib64/anaconda3/envs/graphrag/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py\", line 791, in generate_prompt\\r\\n return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)\\r\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\r\\n File \"/usr/lib64/anaconda3/envs/graphrag/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py\", line 648, in generate\\r\\n raise e\\r\\n File \"/usr/lib64/anaconda3/envs/graphrag/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py\", line 638, in generate\\r\\n self._generate_with_cache(\\r\\n File \"/usr/lib64/anaconda3/envs/graphrag/lib/python3.11/site-packages/langchain_core/language_models/chat_models.py\", line 860, in _generate_with_cache\\r\\n result = self._generate(\\r\\n ^^^^^^^^^^^^^^^\\r\\n File \"/usr/lib64/anaconda3/envs/graphrag/lib/python3.11/site-packages/langchain_community/chat_models/hunyuan.py\", line 217, in _generate\\r\\n res = self._chat(messages, **kwargs)\\r\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\r\\n File \"/usr/lib64/anaconda3/envs/graphrag/lib/python3.11/site-packages/langchain_community/chat_models/hunyuan.py\", line 268, in _chat\\r\\n \"Messages\": [_convert_message_to_dict(m) for m in messages],\\r\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\r\\n File \"/usr/lib64/anaconda3/envs/graphrag/lib/python3.11/site-packages/langchain_community/chat_models/hunyuan.py\", line 268, in \\r\\n \"Messages\": [_convert_message_to_dict(m) for m in messages],\\r\\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^\\r\\n File \"/usr/lib64/anaconda3/envs/graphrag/lib/python3.11/site-packages/langchain_community/chat_models/hunyuan.py\", line 47, in _convert_message_to_dict\\r\\n raise TypeError(f\"Got unknown type {message}\")\\r\\nTypeError: Got unknown type content=\"\\\\nYou\\'re a helpful assistant.\\\\n\"\\r\\n>>> print(answer.content)\\r\\nTraceback (most recent call last):\\r\\n File \"\", line 1, in \\r\\nNameError: name \\'answer\\' is not defined\\n\\n### Description\\n\\nThe function _convert_message_to_dict() in hunyuan.py should deal with system prompt message:\\r\\n```\\r\\ndef _convert_message_to_dict(message: BaseMessage) -> dict:\\r\\n message_dict: Dict[str, Any]\\r\\n if isinstance(message, ChatMessage):\\r\\n message_dict = {\"Role\": message.role, \"Content\": message.content}\\r\\n elif isinstance(message, HumanMessage):\\r\\n message_dict = {\"Role\": \"user\", \"Content\": message.content}\\r\\n elif isinstance(message, AIMessage):\\r\\n message_dict = {\"Role\": \"assistant\", \"Content\": message.content}\\r\\n else:\\r\\n raise TypeError(f\"Got unknown type {message}\")\\r\\n\\r\\n return message_dict\\r\\n```\\r\\nAnd the following modified version is O.K.:\\r\\n```\\r\\ndef _convert_message_to_dict(message: BaseMessage) -> dict:\\r\\n message_dict: Dict[str, Any]\\r\\n if isinstance(message, ChatMessage):\\r\\n message_dict = {\"Role\": message.role, \"Content\": message.content}\\r\\n elif isinstance(message, HumanMessage):\\r\\n message_dict = {\"Role\": \"user\", \"Content\": message.content}\\r\\n elif isinstance(message, AIMessage):\\r\\n message_dict = {\"Role\": \"assistant\", \"Content\": message.content}\\r\\n elif isinstance(message, SystemMessage):\\r\\n message_dict = {\"Role\": \"system\", \"Content\": message.content}\\r\\n else:\\r\\n raise TypeError(f\"Got unknown type {message}\")\\r\\n\\r\\n return message_dict\\r\\n```\\n\\n### System Info\\n\\n(graphrag) root@Jean-Y9000X:~# pip freeze | grep langchain\\r\\nlangchain==0.2.13\\r\\nlangchain-cli==0.0.25\\r\\nlangchain-community==0.2.12\\r\\nlangchain-core==0.2.30\\r\\nlangchain-experimental==0.0.62\\r\\nlangchain-google-genai==1.0.7\\r\\nlangchain-google-vertexai==1.0.6\\r\\nlangchain-groq==0.1.6\\r\\nlangchain-openai==0.1.16\\r\\nlangchain-text-splitters==0.2.2\\r\\nlangchain-wenxin==0.10.2\\r\\n\\r\\nplatform WSL2 Ubuntu 22\\r\\npython version 3.11',\n", + " 'reactions': {'url': 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2469545712,\n", + " 'node_id': 'I_kwDOIPDwls6TMkbw',\n", + " 'number': 25472,\n", + " 'title': 'Certain parser types not available',\n", + " 'user': {'login': 'ENUMERA8OR',\n", + " 'id': 65213780,\n", + " 'node_id': 'MDQ6VXNlcjY1MjEzNzgw',\n", + " 'avatar_url': 'https://avatars.githubusercontent.com/u/65213780?v=4',\n", + " 'gravatar_id': '',\n", + " 'url': 'https://api.github.com/users/ENUMERA8OR',\n", + " 'html_url': 'https://github.com/ENUMERA8OR',\n", + " 'followers_url': 'https://api.github.com/users/ENUMERA8OR/followers',\n", + " 'following_url': 'https://api.github.com/users/ENUMERA8OR/following{/other_user}',\n", + " 'gists_url': 'https://api.github.com/users/ENUMERA8OR/gists{/gist_id}',\n", + " 'starred_url': 'https://api.github.com/users/ENUMERA8OR/starred{/owner}{/repo}',\n", + " 'subscriptions_url': 'https://api.github.com/users/ENUMERA8OR/subscriptions',\n", + " 'organizations_url': 'https://api.github.com/users/ENUMERA8OR/orgs',\n", + " 'repos_url': 'https://api.github.com/users/ENUMERA8OR/repos',\n", + " 'events_url': 'https://api.github.com/users/ENUMERA8OR/events{/privacy}',\n", + " 'received_events_url': 'https://api.github.com/users/ENUMERA8OR/received_events',\n", + " 'type': 'User',\n", + " 'site_admin': False},\n", + " 'labels': [{'id': 5680700839,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABUpidpw',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%A4%96:bug',\n", + " 'name': '🤖:bug',\n", + " 'color': 'F9D0C4',\n", + " 'default': False,\n", + " 'description': 'Related to a bug, vulnerability, unexpected error with an existing feature'},\n", + " {'id': 6491438522,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABgut9ug',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%E2%B1%AD:%20parsing',\n", + " 'name': 'Ɑ: parsing',\n", + " 'color': 'D4C5F9',\n", + " 'default': False,\n", + " 'description': 'Related to output parser module'}],\n", + " 'state': 'open',\n", + " 'locked': False,\n", + " 'assignee': None,\n", + " 'assignees': [],\n", + " 'milestone': None,\n", + " 'comments': 1,\n", + " 'created_at': '2024-08-16T05:57:02Z',\n", + " 'updated_at': '2024-08-17T11:42:15Z',\n", + " 'closed_at': None,\n", + " 'author_association': 'NONE',\n", + " 'active_lock_reason': None,\n", + " 'body': 'The following code:\\r\\n\\r\\nfrom langchain.output_parsers import PydanticOutputParser, YamlOutputParser,OutputFixingParser, RetryOutputParser, BaseOutputParser\\r\\n\\r\\nfrom langchain_core.output_parsers import BaseOutputParser, BaseGenerationOutputParser, YamlOutputParser\\r\\n\\r\\n![Screenshot from 2024-08-16 11-16-10](https://github.com/user-attachments/assets/6329e2f6-a2f7-4f69-bf21-236ae1afbee7)\\r\\n\\r\\n![Screenshot from 2024-08-16 11-20-45](https://github.com/user-attachments/assets/8b217be9-5641-45d2-b6c8-44ee7d0d7d72)\\r\\n\\r\\n\\r\\nYaml Output parser is not available in langchain: langchain_core.output_parsers package & Base Output parser is not there in langchain.output_parsers.\\r\\n\\r\\nUsing google colab notebook with the following other packages & environment variables:\\r\\n\\r\\n%pip install -qU langchain-openai\\r\\n%pip install -U langsmith\\r\\n%pip install \"unstructured[md]\"\\r\\n!pip install -qU langchain-community\\r\\n!pip install wikipedia\\r\\n!pip install langchain_groq\\r\\n!rm .langchain.db\\r\\n%pip install bs4\\r\\n\\r\\nimport time\\r\\nimport os\\r\\nimport tiktoken\\r\\nimport openai\\r\\nimport json\\r\\n\\r\\nfrom langchain.globals import set_llm_cache\\r\\nfrom langchain_openai import OpenAI\\r\\nfrom langchain_core.pydantic_v1 import BaseModel, Field\\r\\nfrom langchain_openai import ChatOpenAI\\r\\nfrom langchain.agents import AgentExecutor, create_tool_calling_agent, load_tools\\r\\nfrom langchain_core.prompts import ChatPromptTemplate\\r\\nfrom langchain.callbacks.manager import get_openai_callback\\r\\nfrom typing import List\\r\\nfrom langchain_core.messages import BaseMessage, ToolMessage\\r\\nfrom langchain_core.language_models import BaseChatModel, SimpleChatModel\\r\\nfrom langchain_core.messages import AIMessageChunk, BaseMessage, HumanMessage\\r\\nfrom langchain_core.outputs import ChatGeneration, ChatGenerationChunk,ChatResult, Generation\\r\\nfrom langchain_core.runnables import run_in_executor\\r\\nfrom langsmith.wrappers import wrap_openai\\r\\nfrom langsmith import traceable\\r\\nfrom langsmith import Client\\r\\nfrom langsmith.evaluation import evaluate\\r\\nfrom langchain_groq import ChatGroq\\r\\nfrom langchain_core.pydantic_v1 import BaseModel, Field\\r\\nfrom langchain_core.tools import tool\\r\\nfrom langchain_core.rate_limiters import InMemoryRateLimiter\\r\\nfrom langchain_core.messages import AIMessage, HumanMessage, ToolMessage\\r\\nfrom langchain_core.prompts import ChatPromptTemplate\\r\\nfrom langchain_core.runnables import RunnablePassthrough, RunnableLambda, RunnableParallel, RunnableGenerator\\r\\nfrom langchain_community.llms.llamafile import Llamafile\\r\\nfrom langchain_core.messages import (\\r\\n AIMessage,\\r\\n HumanMessage,\\r\\n SystemMessage,\\r\\n trim_messages,\\r\\n filter_messages,\\r\\n merge_message_runs,\\r\\n)\\r\\nfrom langchain_core.chat_history import InMemoryChatMessageHistory\\r\\nfrom langchain_core.runnables.history import RunnableWithMessageHistory\\r\\nfrom langchain_community.cache import SQLiteCache\\r\\nfrom typing import Any, Dict, Iterator, List, Mapping, Optional, Iterable\\r\\nfrom langchain_core.callbacks.manager import CallbackManagerForLLMRun\\r\\nfrom langchain_core.language_models.llms import LLM\\r\\nfrom langchain_core.outputs import GenerationChunk\\r\\nfrom langchain_core.prompts import ChatPromptTemplate\\r\\nfrom langchain_core.prompts import PromptTemplate\\r\\nfrom langchain_core.pydantic_v1 import BaseModel, Field, validator\\r\\nfrom langchain.output_parsers.json import SimpleJsonOutputParser\\r\\nfrom langchain_core.exceptions import OutputParserException\\r\\nfrom langchain_community.document_loaders import UnstructuredHTMLLoader, BSHTMLLoader,UnstructuredMarkdownLoader\\r\\nfrom langchain_core.documents import Document\\r\\nfrom pathlib import Path\\r\\nfrom pprint import pprint\\r\\nfrom langchain_community.document_loaders import JSONLoader\\r\\n\\r\\n& environment variables:\\r\\n\\r\\nos.environ[\"GROQ_API_KEY\"] = \"******************************************************************\"\\r\\n\\r\\nos.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\\r\\n\\r\\nos.environ[\"LANGCHAIN_API_KEY\"] = \"******************************************\"\\r\\n\\r\\nos.environ[\"TAVILY_API_KEY\"] = \"***********************************************\"\\r\\n\\r\\nos.environ[\"OPENAI_API_KEY\"] = \"*********************************************************\"\\r\\n\\r\\n',\n", + " 'reactions': {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25472/reactions',\n", + " 'total_count': 1,\n", + " '+1': 1,\n", + " '-1': 0,\n", + " 'laugh': 0,\n", + " 'hooray': 0,\n", + " 'confused': 0,\n", + " 'heart': 0,\n", + " 'rocket': 0,\n", + " 'eyes': 0},\n", + " 'timeline_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25472/timeline',\n", + " 'performed_via_github_app': None,\n", + " 'state_reason': None},\n", + " {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25470',\n", + " 'repository_url': 'https://api.github.com/repos/langchain-ai/langchain',\n", + " 'labels_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25470/labels{/name}',\n", + " 'comments_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25470/comments',\n", + " 'events_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25470/events',\n", + " 'html_url': 'https://github.com/langchain-ai/langchain/issues/25470',\n", + " 'id': 2469454202,\n", + " 'node_id': 'I_kwDOIPDwls6TMOF6',\n", + " 'number': 25470,\n", + " 'title': 'DOC: The hybrid search in the use case part is broken.',\n", + " 'user': {'login': 'nan-wang',\n", + " 'id': 4329072,\n", + " 'node_id': 'MDQ6VXNlcjQzMjkwNzI=',\n", + " 'avatar_url': 'https://avatars.githubusercontent.com/u/4329072?v=4',\n", + " 'gravatar_id': '',\n", + " 'url': 'https://api.github.com/users/nan-wang',\n", + " 'html_url': 'https://github.com/nan-wang',\n", + " 'followers_url': 'https://api.github.com/users/nan-wang/followers',\n", + " 'following_url': 'https://api.github.com/users/nan-wang/following{/other_user}',\n", + " 'gists_url': 'https://api.github.com/users/nan-wang/gists{/gist_id}',\n", + " 'starred_url': 'https://api.github.com/users/nan-wang/starred{/owner}{/repo}',\n", + " 'subscriptions_url': 'https://api.github.com/users/nan-wang/subscriptions',\n", + " 'organizations_url': 'https://api.github.com/users/nan-wang/orgs',\n", + " 'repos_url': 'https://api.github.com/users/nan-wang/repos',\n", + " 'events_url': 'https://api.github.com/users/nan-wang/events{/privacy}',\n", + " 'received_events_url': 'https://api.github.com/users/nan-wang/received_events',\n", + " 'type': 'User',\n", + " 'site_admin': False},\n", + " 'labels': [{'id': 5680700918,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABUpid9g',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%A4%96:docs',\n", + " 'name': '🤖:docs',\n", + " 'color': 'C5DEF5',\n", + " 'default': False,\n", + " 'description': 'Changes to documentation and examples, like .md, .rst, .ipynb files. Changes to the docs/ folder'}],\n", + " 'state': 'open',\n", + " 'locked': False,\n", + " 'assignee': None,\n", + " 'assignees': [],\n", + " 'milestone': None,\n", + " 'comments': 0,\n", + " 'created_at': '2024-08-16T04:38:40Z',\n", + " 'updated_at': '2024-08-16T04:41:12Z',\n", + " 'closed_at': None,\n", + " 'author_association': 'CONTRIBUTOR',\n", + " 'active_lock_reason': None,\n", + " 'body': '### URL\\n\\nhttps://python.langchain.com/v0.1/docs/use_cases/question_answering/hybrid/\\n\\n### Checklist\\n\\n- [X] I added a very descriptive title to this issue.\\n- [X] I included a link to the documentation page I am referring to (if applicable).\\n\\n### Issue with current documentation:\\n\\n```python\\r\\nimport cassio\\r\\n\\r\\ncassio.init(\\r\\n database_id=\"Your database ID\",\\r\\n token=\"Your application token\",\\r\\n keyspace=\"Your key space\",\\r\\n)\\r\\n```\\r\\n\\r\\nthis part of code snippet does work. I\\'ve created an issue at https://github.com/CassioML/cassio/issues/165. \\n\\n### Idea or request for content:\\n\\n_No response_',\n", + " 'reactions': {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25470/reactions',\n", + " 'total_count': 1,\n", + " '+1': 1,\n", + " '-1': 0,\n", + " 'laugh': 0,\n", + " 'hooray': 0,\n", + " 'confused': 0,\n", + " 'heart': 0,\n", + " 'rocket': 0,\n", + " 'eyes': 0},\n", + " 'timeline_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25470/timeline',\n", + " 'performed_via_github_app': None,\n", + " 'state_reason': None},\n", + " {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25468',\n", + " 'repository_url': 'https://api.github.com/repos/langchain-ai/langchain',\n", + " 'labels_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25468/labels{/name}',\n", + " 'comments_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25468/comments',\n", + " 'events_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25468/events',\n", + " 'html_url': 'https://github.com/langchain-ai/langchain/issues/25468',\n", + " 'id': 2469351487,\n", + " 'node_id': 'I_kwDOIPDwls6TL1A_',\n", + " 'number': 25468,\n", + " 'title': 'Syntax error, incorrect syntax near \\'{\\'.\"} for Azure Cosmos DB No SQL tutorial',\n", + " 'user': {'login': 'hepengfe',\n", + " 'id': 28021889,\n", + " 'node_id': 'MDQ6VXNlcjI4MDIxODg5',\n", + " 'avatar_url': 'https://avatars.githubusercontent.com/u/28021889?v=4',\n", + " 'gravatar_id': '',\n", + " 'url': 'https://api.github.com/users/hepengfe',\n", + " 'html_url': 'https://github.com/hepengfe',\n", + " 'followers_url': 'https://api.github.com/users/hepengfe/followers',\n", + " 'following_url': 'https://api.github.com/users/hepengfe/following{/other_user}',\n", + " 'gists_url': 'https://api.github.com/users/hepengfe/gists{/gist_id}',\n", + " 'starred_url': 'https://api.github.com/users/hepengfe/starred{/owner}{/repo}',\n", + " 'subscriptions_url': 'https://api.github.com/users/hepengfe/subscriptions',\n", + " 'organizations_url': 'https://api.github.com/users/hepengfe/orgs',\n", + " 'repos_url': 'https://api.github.com/users/hepengfe/repos',\n", + " 'events_url': 'https://api.github.com/users/hepengfe/events{/privacy}',\n", + " 'received_events_url': 'https://api.github.com/users/hepengfe/received_events',\n", + " 'type': 'User',\n", + " 'site_admin': False},\n", + " 'labels': [{'id': 5541432778,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABSkuNyg',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%E2%B1%AD:%20vector%20store',\n", + " 'name': 'Ɑ: vector store',\n", + " 'color': 'D4C5F9',\n", + " 'default': False,\n", + " 'description': 'Related to vector store module'},\n", + " {'id': 5680700839,\n", + " 'node_id': 'LA_kwDOIPDwls8AAAABUpidpw',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/labels/%F0%9F%A4%96:bug',\n", + " 'name': '🤖:bug',\n", + " 'color': 'F9D0C4',\n", + " 'default': False,\n", + " 'description': 'Related to a bug, vulnerability, unexpected error with an existing feature'}],\n", + " 'state': 'open',\n", + " 'locked': False,\n", + " 'assignee': None,\n", + " 'assignees': [],\n", + " 'milestone': None,\n", + " 'comments': 2,\n", + " 'created_at': '2024-08-16T03:14:43Z',\n", + " 'updated_at': '2024-08-16T05:05:54Z',\n", + " 'closed_at': None,\n", + " 'author_association': 'NONE',\n", + " 'active_lock_reason': None,\n", + " 'body': '### Checked other resources\\n\\n- [X] I added a very descriptive title to this issue.\\n- [X] I searched the LangChain documentation with the integrated search.\\n- [X] I used the GitHub search to find a similar question and didn\\'t find it.\\n- [X] I am sure that this is a bug in LangChain rather than my code.\\n- [X] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).\\n\\n### Example Code\\n\\nFollowing tutorial here https://python.langchain.com/v0.2/docs/integrations/vectorstores/azure_cosmos_db_no_sql/\\r\\n\\r\\nAfter fixing the code as instructed here by adding \\r\\n```python\\r\\ncosmos_database_properties={\\r\\n \"id\" : Config.COSMOS_DB_NAME\\r\\n }\\r\\n```\\r\\nAnother issue occur and the message indicates some syntax error.\\n\\n### Error Message and Stack Trace (if applicable)\\n\\npage_content=\\'Direct Preference Optimization:\\r\\nYour Language Model is Secretly a Reward Model\\r\\nRafael Rafailov∗†Archit Sharma∗†Eric Mitchell∗†\\r\\nStefano Ermon†‡Christopher D. Manning†Chelsea Finn†\\r\\n†Stanford University‡CZ Biohub\\r\\n{rafailov,architsh,eric.mitchell}@cs.stanford.edu\\r\\nAbstract\\r\\nWhile large-scale unsupervised language models (LMs) learn broad world knowl-\\r\\nedge and some reasoning skills, achieving precise control of their behavior is\\r\\ndifficult due to the completely unsupervised nature of their training. Existing\\r\\nmethods for gaining such steerability collect human labels of the relative quality of\\r\\nmodel generations and fine-tune the unsupervised LM to align with these prefer-\\r\\nences, often with reinforcement learning from human feedback (RLHF). However,\\r\\nRLHF is a complex and often unstable procedure, first fitting a reward model that\\r\\nreflects the human preferences, and then fine-tuning the large unsupervised LM\\r\\nusing reinforcement learning to maximize this estimated reward without drifting\\' metadata={\\'source\\': \\'https://arxiv.org/pdf/2305.18290\\', \\'page\\': 0}\\r\\nTraceback (most recent call last):\\r\\n File \"/home/pii/adabit/proj/proj/src/db/cosmos_db_langchain.py\", line 114, in \\r\\n results = vectorstore.similarity_search(query)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/langchain_community/vectorstores/azure_cosmos_db_no_sql.py\", line 338, in similarity_search\\r\\n docs_and_scores = self.similarity_search_with_score(\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/langchain_community/vectorstores/azure_cosmos_db_no_sql.py\", line 322, in similarity_search_with_score\\r\\n docs_and_scores = self._similarity_search_with_score(\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/langchain_community/vectorstores/azure_cosmos_db_no_sql.py\", line 298, in _similarity_search_with_score\\r\\n items = list(\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/core/paging.py\", line 124, in __next__\\r\\n return next(self._page_iterator)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/core/paging.py\", line 76, in __next__\\r\\n self._response = self._get_next(self.continuation_token)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_query_iterable.py\", line 99, in _fetch_next\\r\\n block = self._ex_context.fetch_next_block()\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_execution_context/execution_dispatcher.py\", line 110, in fetch_next_block\\r\\n raise e\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_execution_context/execution_dispatcher.py\", line 102, in fetch_next_block\\r\\n return self._execution_context.fetch_next_block()\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_execution_context/base_execution_context.py\", line 79, in fetch_next_block\\r\\n self._ensure()\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_execution_context/base_execution_context.py\", line 64, in _ensure\\r\\n results = self._fetch_next_block()\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_execution_context/base_execution_context.py\", line 175, in _fetch_next_block\\r\\n return self._fetch_items_helper_with_retries(self._fetch_function)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_execution_context/base_execution_context.py\", line 147, in _fetch_items_helper_with_retries\\r\\n return _retry_utility.Execute(self._client, self._client._global_endpoint_manager, callback)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_retry_utility.py\", line 87, in Execute\\r\\n result = ExecuteFunction(function, *args, **kwargs)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_retry_utility.py\", line 149, in ExecuteFunction\\r\\n return function(*args, **kwargs)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_execution_context/base_execution_context.py\", line 145, in callback\\r\\n return self._fetch_items_helper_no_retries(fetch_function)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_execution_context/base_execution_context.py\", line 126, in _fetch_items_helper_no_retries\\r\\n (fetched_items, response_headers) = fetch_function(new_options)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_cosmos_client_connection.py\", line 1065, in fetch_fn\\r\\n return self.__QueryFeed(\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_cosmos_client_connection.py\", line 3092, in __QueryFeed\\r\\n result, last_response_headers = self.__Post(path, request_params, query, req_headers, **kwargs)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_cosmos_client_connection.py\", line 2811, in __Post\\r\\n return synchronized_request.SynchronizedRequest(\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_synchronized_request.py\", line 204, in SynchronizedRequest\\r\\n return _retry_utility.Execute(\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_retry_utility.py\", line 85, in Execute\\r\\n result = ExecuteFunction(function, global_endpoint_manager, *args, **kwargs)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_retry_utility.py\", line 149, in ExecuteFunction\\r\\n return function(*args, **kwargs)\\r\\n File \"/home/pii/miniconda3/envs/proj/lib/python3.9/site-packages/azure/cosmos/_synchronized_request.py\", line 155, in _Request\\r\\n raise exceptions.CosmosHttpResponseError(message=data, response=response)\\r\\nazure.cosmos.exceptions.CosmosHttpResponseError: (BadRequest) Message: {\"errors\":[{\"severity\":\"Error\",\"location\":{\"start\":26,\"end\":27},\"code\":\"SC1001\",\"message\":\"Syntax error, incorrect syntax near \\'{\\'.\"}]}\\r\\nActivityId: 6f7cd23d-76b5-48c0-b125-5359559ef992, Microsoft.Azure.Documents.Common/2.14.0\\r\\nCode: BadRequest\\r\\nMessage: Message: {\"errors\":[{\"severity\":\"Error\",\"location\":{\"start\":26,\"end\":27},\"code\":\"SC1001\",\"message\":\"Syntax error, incorrect syntax near \\'{\\'.\"}]}\\r\\nActivityId: 6f7cd23d-76b5-48c0-b125-5359559ef992, Microsoft.Azure.Documents.Common/2.14.0\\n\\n### Description\\n\\n* I am trying to run the tutorial https://python.langchain.com/v0.2/docs/integrations/vectorstores/azure_cosmos_db_no_sql/ \\n\\n### System Info\\n\\nSystem Information\\r\\n------------------\\r\\n> OS: Linux\\r\\n> OS Version: #93~20.04.1-Ubuntu SMP Wed Sep 6 16:15:40 UTC 2023\\r\\n> Python Version: 3.9.19 | packaged by conda-forge | (main, Mar 20 2024, 12:50:21) \\r\\n[GCC 12.3.0]\\r\\n\\r\\nPackage Information\\r\\n-------------------\\r\\n> langchain_core: 0.2.25\\r\\n> langchain: 0.2.12\\r\\n> langchain_community: 0.2.11\\r\\n> langsmith: 0.1.96\\r\\n> langchain_nomic: 0.1.2\\r\\n> langchain_openai: 0.1.20\\r\\n> langchain_text_splitters: 0.2.2\\r\\n> langchainhub: 0.1.20\\r\\n> langgraph: 0.2.3',\n", + " 'reactions': {'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/25468/reactions',\n", + " 'total_count': 1,\n", + " '+1': 1,\n", + " '-1': 0,\n", + " 'laugh': 0,\n", + " 'hooray': 0,\n", + " 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'https://api.github.com/users/web-flow/events{/privacy}',\n", + " 'received_events_url': 'https://api.github.com/users/web-flow/received_events',\n", + " 'type': 'User',\n", + " 'site_admin': False},\n", + " 'parents': [{'sha': 'ba167dc15852043f185c12103fde00f28b14a29c',\n", + " 'url': 'https://api.github.com/repos/langchain-ai/langchain/commits/ba167dc15852043f185c12103fde00f28b14a29c',\n", + " 'html_url': 'https://github.com/langchain-ai/langchain/commit/ba167dc15852043f185c12103fde00f28b14a29c'}]}]" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "commits" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "47c35db6-2da3-4037-85c1-b5b28ac5985d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "bec2a396-7e6a-40d7-9103-c5b543b6e6d6", + "metadata": {}, + "source": [ + "## 解析导出每日进展\n", + "\n", + "API 请求返回结构过于复杂，我们先解析 `title` 字段，即仅查看和总结 GitHub 项目 Issues list 和 PRs List 标题。如下所示：\n", + "\n", + "![Issues](images/issues.png)\n", + "\n", + "https://github.com/langchain-ai/langchain/issues" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "d0fb8044-2dd9-49d6-b629-498ec5e00684", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Exported daily progress to langchain-ai_langchain_2024-08-18.md\n" + ] + }, + { + "data": { + "text/plain": [ + "'langchain-ai_langchain_2024-08-18.md'" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "github_client.export_daily_progress(repo)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "61f67bce-ceed-4334-9008-e151a7c01bae", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "d2405e97-c65a-4f42-82f0-c633e3bdce83", + "metadata": {}, + "source": [ + "### 查看文档 发现问题并不简单😈😈\n", + "\n", + "#### Note: Every pull request is an issue\n", + "\n", + "> GitHub's REST API considers every pull request an issue, but not every issue is a pull request. For this reason, \"Issues\" endpoints may return both issues and pull requests in the response. You can identify pull requests by the pull_request key. Be aware that the id of a pull request returned from \"Issues\" endpoints will be an issue id. To find out the pull request id, use the \"List pull requests\" endpoint." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "72351ab3-0036-41c4-8b2d-d97bd184d25a", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ea054369-9203-4c1f-9295-30ddb28a425d", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d2c65c9-387b-4477-9889-2cc2733d1171", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "f1a2f29a-99cc-4539-ba51-03b057358a51", + "metadata": {}, + "source": [ + "# 支持条件筛选的 GitHub 项目进展获取\n", + "\n", + "实际开发场景中，项目进展通常不是刚好以天为周期时。因此，这便暴露出v0.2版本的 `GitHubClient` 在信息获取方面的局限性。\n", + "\n", + "\n", + "下面我们扩展 v0.2 版本的 `GitHubClient`，使其支持根据筛选条件获取 GitHub 项目的 Issues 和 Pull Requests。首要支持的筛选条便是**研发周期（时间段）**，**已合并的PR** 和 **已关闭的Issues**：\n", + "\n", + "![langchain_week_progress](images/langchain_week_progress.jpg)\n", + "\n", + "通过阅读 GitHub API 文档（https://docs.github.com/en/rest/issues/issues?apiVersion=2022-11-28#list-repository-issues--code-samples ），我们便能了解最关键的2个字段是：\n", + "\n", + "- state(string): Indicates the state of the issues to return.\n", + " - Default: open\n", + " - Can be one of: open, closed, all\n", + "- since(string): Only show results that were last updated after the given time. This is a timestamp in ISO 8601 format: YYYY-MM-DDTHH:MM:SSZ.\n", + "\n", + "从功能完整性角度，我们还可以增加一个 `until` 条件，以支持研发周期的结束时间筛选。😈😈\n", + "\n", + "\n", + "下面以 Langchain 项目 (https://github.com/langchain-ai/langchain) 为例，展示如何使用扩展后的 GitHubClient\n", + "\n", + "## [v0.3] GitHubClient Class " + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "34c56450-0f5a-4eac-833d-9f23ac4246e0", + "metadata": {}, + "outputs": [], + "source": [ + "# src/logger.py\n", + "from loguru import logger\n", + "import sys\n", + "\n", + "# Configure Loguru\n", + "logger.remove() # Remove the default logger\n", + "logger.add(sys.stdout, level=\"DEBUG\", format=\"{time} {level} {message}\", colorize=True)\n", + "logger.add(\"logs/app.log\", rotation=\"1 MB\", level=\"DEBUG\")\n", + "\n", + "# Alias the logger for easier import\n", + "LOG = logger\n", + "\n", + "# Make the logger available for import with the alias\n", + "__all__ = [\"LOG\"]\n", + "\n", + "\n", + "# src/github_client.py\n", + "\n", + "import requests # 导入requests库用于HTTP请求\n", + "from datetime import datetime, date, timedelta # 导入日期处理模块\n", + "import os # 导入os模块用于文件和目录操作\n", + "# from logger import LOG # 导入日志模块（演示时直接导入）\n", + "\n", + "class GitHubClient:\n", + " def __init__(self, token):\n", + " self.token = token # GitHub API令牌\n", + " self.headers = {'Authorization': f'token {self.token}'} # 设置HTTP头部认证信息\n", + "\n", + " def fetch_updates(self, repo, since=None, until=None):\n", + " # 获取指定仓库的更新，可以指定开始和结束日期\n", + " updates = {\n", + " 'commits': self.fetch_commits(repo, since, until), # 获取提交记录\n", + " 'issues': self.fetch_issues(repo, since, until), # 获取问题\n", + " 'pull_requests': self.fetch_pull_requests(repo, since, until) # 获取拉取请求\n", + " }\n", + " return updates\n", + "\n", + " def fetch_commits(self, repo, since=None, until=None):\n", + " url = f'https://api.github.com/repos/{repo}/commits' # 构建获取提交的API URL\n", + " params = {}\n", + " if since:\n", + " params['since'] = since # 如果指定了开始日期，添加到参数中\n", + " if until:\n", + " params['until'] = until # 如果指定了结束日期，添加到参数中\n", + "\n", + " response = requests.get(url, headers=self.headers, params=params)\n", + " response.raise_for_status() # 检查请求是否成功\n", + " return response.json() # 返回JSON格式的数据\n", + "\n", + " def fetch_issues(self, repo, since=None, until=None):\n", + " url = f'https://api.github.com/repos/{repo}/issues' # 构建获取问题的API URL\n", + " params = {\n", + " 'state': 'closed', # 仅获取已关闭的问题\n", + " 'since': since,\n", + " 'until': until\n", + " }\n", + " response = requests.get(url, headers=self.headers, params=params)\n", + " response.raise_for_status()\n", + " return response.json()\n", + "\n", + " def fetch_pull_requests(self, repo, since=None, until=None):\n", + " url = f'https://api.github.com/repos/{repo}/pulls' # 构建获取拉取请求的API URL\n", + " params = {\n", + " 'state': 'closed', # 仅获取已合并的拉取请求\n", + " 'since': since,\n", + " 'until': until\n", + " }\n", + " response = requests.get(url, headers=self.headers, params=params)\n", + " response.raise_for_status()\n", + " return response.json()\n", + "\n", + " def export_daily_progress(self, repo):\n", + " today = datetime.now().date().isoformat() # 获取今天的日期\n", + " updates = self.fetch_updates(repo, since=today) # 获取今天的更新数据\n", + " \n", + " repo_dir = os.path.join('daily_progress', repo.replace(\"/\", \"_\")) # 构建存储路径\n", + " os.makedirs(repo_dir, exist_ok=True) # 确保目录存在\n", + " \n", + " file_path = os.path.join(repo_dir, f'{today}.md') # 构建文件路径\n", + " with open(file_path, 'w') as file:\n", + " file.write(f\"# Daily Progress for {repo} ({today})\\n\\n\")\n", + " file.write(\"\\n## Issues Closed Today\\n\")\n", + " for issue in updates['issues']: # 写入今天关闭的问题\n", + " file.write(f\"- {issue['title']} #{issue['number']}\\n\")\n", + " file.write(\"\\n## Pull Requests Merged Today\\n\")\n", + " for pr in updates['pull_requests']: # 写入今天合并的拉取请求\n", + " file.write(f\"- {pr['title']} #{pr['number']}\\n\")\n", + " \n", + " LOG.info(f\"Exported daily progress to {file_path}\") # 记录日志\n", + " return file_path\n", + "\n", + " def export_progress_by_date_range(self, repo, days):\n", + " today = date.today() # 获取当前日期\n", + " since = today - timedelta(days=days) # 计算开始日期\n", + " \n", + " updates = self.fetch_updates(repo, since=since.isoformat(), until=today.isoformat()) # 获取指定日期范围内的更新\n", + " \n", + " repo_dir = os.path.join('daily_progress', repo.replace(\"/\", \"_\")) # 构建目录路径\n", + " os.makedirs(repo_dir, exist_ok=True) # 确保目录存在\n", + " \n", + " # 更新文件名以包含日期范围\n", + " date_str = f\"{since}_to_{today}\"\n", + " file_path = os.path.join(repo_dir, f'{date_str}.md') # 构建文件路径\n", + " \n", + " with open(file_path, 'w') as file:\n", + " file.write(f\"# Progress for {repo} ({since} to {today})\\n\\n\")\n", + " file.write(f\"\\n## Issues Closed in the Last {days} Days\\n\")\n", + " for issue in updates['issues']: # 写入在指定日期内关闭的问题\n", + " file.write(f\"- {issue['title']} #{issue['number']}\\n\")\n", + " file.write(\"\\n## Pull Requests Merged in the Last {days} Days\\n\")\n", + " for pr in updates['pull_requests']: # 写入在指定日期内合并的拉取请求\n", + " file.write(f\"- {pr['title']} #{pr['number']}\\n\")\n", + " \n", + " LOG.info(f\"Exported time-range progress to {file_path}\") # 记录日志\n", + " return file_path" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "a98efa04-2547-4db7-a443-f1420135df68", + "metadata": {}, + "outputs": [], + "source": [ + "# 实例化 v0.3 版本的 GitHub Client\n", + "github_client = GitHubClient(token=os.getenv(\"GITHUB_TOKEN\"))" + ] + }, + { + "cell_type": "markdown", + "id": "b67b61e5-4be0-45a9-820d-94ccc41a710f", + "metadata": {}, + "source": [ + "### 获取过去1天 LangChain 进展（已关闭的Issues）" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "a5fd57a8-53f8-47e9-9b76-1deae06f54e5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Issue #25519: docs: add prompt to install nltk (关闭时间 2024-08-18T06:22:49Z)\n", + "Issue #25518: docs: add prompt to install beautifulsoup4. (关闭时间 2024-08-18T06:23:24Z)\n" + ] + } + ], + "source": [ + "# 获取今天的日期，从午夜开始，ISO 8601格式\n", + "today = datetime.now().replace(hour=0, minute=0, second=0, microsecond=0).isoformat()\n", + "\n", + "# 获取今天关闭的Issues\n", + "closed_issues_today = github_client.fetch_issues(repo='langchain-ai/langchain', since=today, until=today)\n", + "\n", + "# 打印今天关闭的Issues标题\n", + "for issue in closed_issues_today:\n", + " print(f\"Issue #{issue['number']}: {issue['title']} (关闭时间 {issue['closed_at']})\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "573cd198-09e0-4478-ac83-644033e3db29", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Issue #25519: docs: add prompt to install nltk (关闭时间 2024-08-18T06:22:49Z)\n", + "Issue #25518: docs: add prompt to install beautifulsoup4. (关闭时间 2024-08-18T06:23:24Z)\n", + "Issue #25508: add embeddings integration tests (关闭时间 2024-08-16T20:20:37Z)\n", + "Issue #25507: \"from langchain_anthropic import ChatAnthropic\" fails (关闭时间 2024-08-16T20:37:43Z)\n", + "Issue #25504: docs: fix Databricks Vector Search demo notebook (关闭时间 2024-08-16T20:24:30Z)\n", + "Issue #25502: openai[patch]: update core dep (关闭时间 2024-08-16T18:30:18Z)\n", + "Issue #25498: core[patch]: Release 0.2.33 (关闭时间 2024-08-16T18:18:54Z)\n", + "Issue #25496: openai[patch]: Release 0.1.22 (关闭时间 2024-08-16T16:53:04Z)\n", + "Issue #25494: docs: use .invoke rather than __call__ in openai integration notebook (关闭时间 2024-08-16T15:59:18Z)\n", + "Issue #25488: openai[patch]: fix json mode for Azure (关闭时间 2024-08-16T16:50:51Z)\n", + "Issue #25485: langchain_openai>=0.1.21 not compatible with AzureChatOpenAI and response_format={\"type\": \"json_object\"} (关闭时间 2024-08-16T13:24:12Z)\n", + "Issue #25482: DOC: Missing a requirement (关闭时间 2024-08-18T06:23:25Z)\n", + "Issue #25480: TypeError: Got unknown type 'ToolMessage'. (关闭时间 2024-08-18T00:48:52Z)\n", + "Issue #25479: AzureChatOpenAI's JSON mode fails with AttributeError: 'NoneType' object has no attribute 'beta' (关闭时间 2024-08-16T19:00:12Z)\n", + "Issue #25473: Unstructured Markdown Loader object which requires also NLTK package (关闭时间 2024-08-18T06:22:51Z)\n", + "Issue #25471: The minimum supported Python version for this project (关闭时间 2024-08-16T04:52:56Z)\n", + "Issue #25465: langchain-box: add langchain box package and DocumentLoader (关闭时间 2024-08-16T19:21:08Z)\n", + "Issue #25463: docs: fix mimetype parser docstring (关闭时间 2024-08-15T23:16:53Z)\n", + "Issue #25461: Langchain Agent with Pydantic tools running in Linux Environment (关闭时间 2024-08-16T02:03:47Z)\n", + "Issue #25458: langchain-box: Add DocumentLoader (关闭时间 2024-08-16T00:53:46Z)\n", + "Issue #25457: core[minor], anthropic[patch]: Upgrade @root_validator usage to be consistent with pydantic 2 (关闭时间 2024-08-15T20:09:35Z)\n", + "Issue #25455: voyageai[patch]: Upgrade root validators for pydantic 2 (关闭时间 2024-08-15T19:30:41Z)\n", + "Issue #25454: ai21[patch]: Upgrade @root_validators for pydantic 2 migration (关闭时间 2024-08-15T18:54:09Z)\n", + "Issue #25453: pinecone[patch]: Upgrade @root_validators to be consistent with pydantic 2 (关闭时间 2024-08-15T19:45:15Z)\n", + "Issue #25450: docs: `arxiv` page update (关闭时间 2024-08-15T18:30:36Z)\n", + "Issue #25448: docs: format oai embeddings docstring (关闭时间 2024-08-15T16:57:55Z)\n", + "Issue #25447: docs: fix api ref mod links in pkg page (关闭时间 2024-08-15T16:52:12Z)\n", + "Issue #25446: mistralai[patch]: Update more @root_validators for pydantic 2 compatibility (关闭时间 2024-08-15T16:44:42Z)\n", + "Issue #25444: docs[patch]: Update code that checks API keys (关闭时间 2024-08-15T16:52:37Z)\n", + "Issue #25443: fireworks[patch]: Upgrade @root_validators to be pydantic 2 compliant (关闭时间 2024-08-15T16:56:48Z)\n" + ] + } + ], + "source": [ + "# 获取过去3天的日期\n", + "three_days_ago = datetime.now() - timedelta(days=3)\n", + "three_days_ago = three_days_ago.replace(hour=0, minute=0, second=0, microsecond=0).isoformat()\n", + "\n", + "# 获取过去3天关闭的Issues\n", + "closed_issues_last_3_days = github_client.fetch_issues(repo='langchain-ai/langchain', since=three_days_ago, until=today)\n", + "\n", + "# 打印过去3天关闭的Issues标题\n", + "for issue in closed_issues_last_3_days:\n", + " print(f\"Issue #{issue['number']}: {issue['title']} (关闭时间 {issue['closed_at']})\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "41b45379-e3eb-45b5-aa91-430baf514fb2", + "metadata": {}, + "source": [ + "## 优化导出文件管理\n", + "\n", + "考虑到 GitHubSentinel 项目长期运行将会生成一大批项目进展文件，因此将所有进展文件统一存储在`daily_progress` 目录下，并按照 `{owners}_{repo}/{since_day}_{until_day}.md` 方式命名。\n", + "\n", + "如下所示：\n", + "\n", + "```shell\n", + "daily_progress\n", + "├── langchain-ai_langchain\n", + "│ ├── 2024-08-04.md\n", + "│ ├── 2024-08-04_report.md\n", + "│ ├── 2024-08-18.md\n", + "│ └── 2024-08-18_report.md\n", + "├── llm_logs.log\n", + "├── ollama_ollama\n", + "│ ├── 2024-07-30_to_2024-08-04.md\n", + "│ ├── 2024-07-30_to_2024-08-04_report.md\n", + "│ ├── 2024-08-02_to_2024-08-04.md\n", + "│ ├── 2024-08-02_to_2024-08-04_report.md\n", + "│ ├── 2024-08-04.md\n", + "│ └── 2024-08-04_report.md\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "ff975705-0ebd-4aa4-b2c6-807be025f3f6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-08-18T14:13:15.171549+0000 INFO Exported time-range progress to daily_progress/langchain-ai_langchain/2024-08-15_to_2024-08-18.md\n" + ] + }, + { + "data": { + "text/plain": [ + "'daily_progress/langchain-ai_langchain/2024-08-15_to_2024-08-18.md'" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "github_client.export_progress_by_date_range(repo='langchain-ai/langchain', days=3)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "326d5255-9ff5-46b8-aeb1-8d98f02acf5c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-08-18T14:13:17.054441+0000 INFO Exported daily progress to daily_progress/langchain-ai_langchain/2024-08-18.md\n" + ] + }, + { + "data": { + "text/plain": [ + "'daily_progress/langchain-ai_langchain/2024-08-18.md'" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "github_client.export_daily_progress(repo='langchain-ai/langchain')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "483cbc04-fe22-4a75-ad36-1500c7b90c64", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "207c2a37-d869-4bc2-ba02-d73e386687d3", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3b1ffa62-4582-40de-9af5-abee331968fd", + "metadata": {}, + "outputs": [], + 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" 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" 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" 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" + } + }, + "cell_type": "markdown", + "id": "992c1e44-0bd8-4aae-b664-94dcb9d62db1", + "metadata": {}, + "source": [ + "### Homework: [可选] 尝试扩展 GitHubClient，使其支持 Since + Until 参数的特定时间段筛选\n", + "![image.png](attachment:12c41fc1-1001-4b5c-9905-131457956a2e.png)![image.png](attachment:532f2f6e-17e4-4d49-934e-d7301d9e8d9b.png)![image.png](attachment:d7c01738-e689-409e-b9aa-476cad3f8220.png)![image.png](attachment:bd00a348-af22-4a69-b64d-5f676f9ed7ee.png)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6be39f6d-2eee-411c-b2d4-4679accb648c", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3005dd54-d736-4577-a7a4-f3f341b5cc35", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/jupyter/images/github_docs.png b/src/jupyter/images/github_docs.png new file mode 100644 index 00000000..1d8b8dcd Binary files /dev/null and b/src/jupyter/images/github_docs.png differ diff --git a/src/jupyter/images/issues.png b/src/jupyter/images/issues.png new file mode 100644 index 00000000..c6c8da4d Binary files /dev/null and b/src/jupyter/images/issues.png differ diff --git a/src/jupyter/images/langchain_week_progress.jpg b/src/jupyter/images/langchain_week_progress.jpg new file mode 100644 index 00000000..b38ce889 Binary files /dev/null and b/src/jupyter/images/langchain_week_progress.jpg differ diff --git a/src/jupyter/prompt_optimization.ipynb b/src/jupyter/prompt_optimization.ipynb deleted file mode 100644 index f89e567f..00000000 --- a/src/jupyter/prompt_optimization.ipynb +++ /dev/null @@ -1,758 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e9233a1e-cae1-4e19-a6e2-90f919c99d89", - "metadata": {}, - "source": [ - "# 获取 GItHub Issues & PRs\n", - "\n", - "以 Langchain 项目 (https://github.com/langchain-ai/langchain) 为例，下面我们分析根据筛选条件获取 GitHub 的 Issues 和 Pull Requests" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "3c92559d-b917-42a6-b107-489f9992a880", - "metadata": {}, - "outputs": [], - "source": [ - "import requests\n", - "import datetime\n", - "import os\n", - "\n", - "class GitHubClient:\n", - " def __init__(self, token):\n", - " self.token = token\n", - " self.headers = {'Authorization': f'token {self.token}'}\n", - "\n", - " def fetch_updates(self, repo, since=None, until=None):\n", - " updates = {\n", - " 'commits': self.fetch_commits(repo, since, until),\n", - " 'issues': self.fetch_issues(repo, since, until),\n", - " 'pull_requests': self.fetch_pull_requests(repo, since, until)\n", - " }\n", - " return updates\n", - "\n", - " def fetch_commits(self, repo, since=None, until=None):\n", - " url = f'https://api.github.com/repos/{repo}/commits'\n", - " params = {}\n", - " if since:\n", - " params['since'] = since\n", - " if until:\n", - " params['until'] = until\n", - "\n", - " response = requests.get(url, headers=self.headers, params=params)\n", - " response.raise_for_status()\n", - " return response.json()\n", - "\n", - " def fetch_issues(self, repo, since=None, until=None):\n", - " url = f'https://api.github.com/repos/{repo}/issues'\n", - " params = {\n", - " 'state': 'closed',\n", - " 'since': since,\n", - " 'until': until\n", - " }\n", - " response = requests.get(url, headers=self.headers, params=params)\n", - " response.raise_for_status()\n", - " return response.json()\n", - "\n", - " def fetch_pull_requests(self, repo, since=None, until=None):\n", - " url = f'https://api.github.com/repos/{repo}/pulls'\n", - " params = {\n", - " 'state': 'closed',\n", - " 'since': since,\n", - " 'until': until\n", - " }\n", - " response = requests.get(url, headers=self.headers, params=params)\n", - " response.raise_for_status()\n", - " return response.json()\n", - "\n", - " def export_daily_progress(self, repo):\n", - " today = datetime.datetime.now().date().isoformat()\n", - " updates = self.fetch_updates(repo, since=today)\n", - " \n", - " repo_dir = os.path.join('daily_progress', repo.replace(\"/\", \"_\"))\n", - " os.makedirs(repo_dir, exist_ok=True)\n", - " \n", - " file_path = os.path.join(repo_dir, f'{today}.md')\n", - " with open(file_path, 'w') as file:\n", - " file.write(f\"# Daily Progress for {repo} ({today})\\n\\n\")\n", - " file.write(\"\\n## Issues Closed Today\\n\")\n", - " for issue in updates['issues']:\n", - " file.write(f\"- {issue['title']} #{issue['number']}\\n\")\n", - " file.write(\"\\n## Pull Requests Merged Today\\n\")\n", - " for pr in updates['pull_requests']:\n", - " file.write(f\"- {pr['title']} #{pr['number']}\\n\")\n", - " \n", - " print(f\"Exported daily progress to {file_path}\")\n", - " return file_path\n", - "\n", - " def export_time_range_progress(self, repo, days):\n", - " today = datetime.datetime.now().date()\n", - " since = (today - datetime.timedelta(days=days)).isoformat()\n", - " until = today.isoformat()\n", - " \n", - " updates = self.fetch_updates(repo, since=since, until=until)\n", - " \n", - " repo_dir = os.path.join('daily_progress', repo.replace(\"/\", \"_\"))\n", - " os.makedirs(repo_dir, exist_ok=True)\n", - " \n", - " date_str = f\"last_{days}_days\"\n", - " file_path = os.path.join(repo_dir, f'{date_str}.md')\n", - " with open(file_path, 'w') as file:\n", - " file.write(f\"# Progress for {repo} (Last {days} Days)\\n\\n\")\n", - " file.write(f\"\\n## Issues Closed in the Last {days} Days\\n\")\n", - " for issue in updates['issues']:\n", - " file.write(f\"- {issue['title']} #{issue['number']}\\n\")\n", - " file.write(f\"\\n## Pull Requests Merged in the Last {days} Days\\n\")\n", - " for pr in updates['pull_requests']:\n", - " file.write(f\"- {pr['title']} #{pr['number']}\\n\")\n", - " \n", - " print(f\"Exported time-range progress to {file_path}\")\n", - " return file_path\n" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "fe76af4f-70b5-4c59-9e20-fb7b689bf953", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "github_client = GitHubClient(token=\"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\")\n" - ] - }, - { - "cell_type": "markdown", - "id": "6f8e3370-ad39-401b-8368-a6d62eec9b49", - "metadata": {}, - "source": [ - "### 查看获取的 Issues 和 PRs 原始格式" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "f03f0ee8-0d93-4fba-a4a6-1c5f66fd5f5d", - "metadata": {}, - "outputs": [], - "source": [ - "result = github_client.fetch_updates(repo=\"langchain-ai/langchain\")" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "b7d9fed4-b11c-4da9-9628-db7eb7f4892a", - "metadata": { - "collapsed": true, - "jupyter": { - "outputs_hidden": true - }, - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'_links': {'comments': {'href': 'https://api.github.com/repos/langchain-ai/langchain/issues/25021/comments'},\n", - " 'commits': {'href': 'https://api.github.com/repos/langchain-ai/langchain/pulls/25021/commits'},\n", - " 'html': {'href': 'https://github.com/langchain-ai/langchain/pull/25021'},\n", - " 'issue': {'href': 'https://api.github.com/repos/langchain-ai/langchain/issues/25021'},\n", - " 'review_comment': {'href': 'https://api.github.com/repos/langchain-ai/langchain/pulls/comments{/number}'},\n", - " 'review_comments': {'href': 'https://api.github.com/repos/langchain-ai/langchain/pulls/25021/comments'},\n", - " 'self': {'href': 'https://api.github.com/repos/langchain-ai/langchain/pulls/25021'},\n", - " 'statuses': {'href': 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Therefore, it is recommended '\n", - " 'to use the monotonically increasing monotonic() to obtain the '\n", - " 'time\\r\\n'\n", - " '\\r\\n'\n", - " '```python\\r\\n'\n", - " ' with self._consume_lock:\\r\\n'\n", - " ' now = time.time() # time.time() -> time.monotonic()\\r\\n'\n", - " '\\r\\n'\n", - " ' # initialize on first call to avoid a burst\\r\\n'\n", - " ' if self.last is None:\\r\\n'\n", - " ' self.last = now\\r\\n'\n", - " '\\r\\n'\n", - " ' elapsed = now - self.last # when use time.time(), '\n", - " 'elapsed may be negative when system time backwards\\r\\n'\n", - " '\\r\\n'\n", - " '```',\n", - " 'closed_at': None,\n", - " 'comments': 1,\n", - " 'comments_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/24961/comments',\n", - " 'created_at': '2024-08-02T06:08:00Z',\n", - " 'draft': False,\n", - " 'events_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/24961/events',\n", - " 'html_url': 'https://github.com/langchain-ai/langchain/pull/24961',\n", - 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" 'labels_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/24961/labels{/name}',\n", - " 'locked': False,\n", - " 'milestone': None,\n", - " 'node_id': 'PR_kwDOIPDwls53Nkqh',\n", - " 'number': 24961,\n", - " 'performed_via_github_app': None,\n", - " 'pull_request': {'diff_url': 'https://github.com/langchain-ai/langchain/pull/24961.diff',\n", - " 'html_url': 'https://github.com/langchain-ai/langchain/pull/24961',\n", - " 'merged_at': None,\n", - " 'patch_url': 'https://github.com/langchain-ai/langchain/pull/24961.patch',\n", - " 'url': 'https://api.github.com/repos/langchain-ai/langchain/pulls/24961'},\n", - " 'reactions': {'+1': 0,\n", - " '-1': 0,\n", - " 'confused': 0,\n", - " 'eyes': 0,\n", - " 'heart': 0,\n", - " 'hooray': 0,\n", - " 'laugh': 0,\n", - " 'rocket': 0,\n", - " 'total_count': 0,\n", - " 'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/24961/reactions'},\n", - " 'repository_url': 'https://api.github.com/repos/langchain-ai/langchain',\n", - " 'state': 'open',\n", - " 'state_reason': None,\n", - " 'timeline_url': 'https://api.github.com/repos/langchain-ai/langchain/issues/24961/timeline',\n", - " 'title': 'core: rate_limiters.InMemoryRateLimiter: use time.monotonic() '\n", - " 'instead time.time() to avoi…',\n", - " 'updated_at': '2024-08-02T06:08:50Z',\n", - " 'url': 'https://api.github.com/repos/langchain-ai/langchain/issues/24961',\n", - " 'user': {'avatar_url': 'https://avatars.githubusercontent.com/u/4945756?v=4',\n", - " 'events_url': 'https://api.github.com/users/anexplore/events{/privacy}',\n", - " 'followers_url': 'https://api.github.com/users/anexplore/followers',\n", - " 'following_url': 'https://api.github.com/users/anexplore/following{/other_user}',\n", - " 'gists_url': 'https://api.github.com/users/anexplore/gists{/gist_id}',\n", - " 'gravatar_id': '',\n", - " 'html_url': 'https://github.com/anexplore',\n", - " 'id': 4945756,\n", - " 'login': 'anexplore',\n", - " 'node_id': 'MDQ6VXNlcjQ5NDU3NTY=',\n", - " 'organizations_url': 'https://api.github.com/users/anexplore/orgs',\n", - " 'received_events_url': 'https://api.github.com/users/anexplore/received_events',\n", - " 'repos_url': 'https://api.github.com/users/anexplore/repos',\n", - " 'site_admin': False,\n", - " 'starred_url': 'https://api.github.com/users/anexplore/starred{/owner}{/repo}',\n", - " 'subscriptions_url': 'https://api.github.com/users/anexplore/subscriptions',\n", - " 'type': 'User',\n", - " 'url': 'https://api.github.com/users/anexplore'}}\n" - ] - } - ], - "source": [ - "pprint(result[\"issues\"][0])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "261a676f-7222-4d35-87cc-2b002b4c9713", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "efc3924b-ff66-495e-a845-74ddbf1b27e1", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "PR #24954: langchain[patch]: Release 0.2.12 (Merged at 2024-08-02T04:04:50Z)\n", - "PR #24952: core[patch]: Release 0.2.27 (Merged at 2024-08-02T01:43:24Z)\n", - "PR #24951: infra: test core on py 3.9, 10, 11 (Merged at 2024-08-02T01:23:37Z)\n", - "PR #24950: docs: fix redirect (Merged at 2024-08-02T00:45:54Z)\n", - "PR #24948: core: docstrings `BaseCallbackHandler update (Merged at 2024-08-02T00:46:53Z)\n", - "PR #24936: core[patch]: Fix tool args schema inherited field parsing (Merged at 2024-08-02T01:36:33Z)\n", - "PR #24862: core: runnable config ensure_config deep copy from var_child_runnable… (Merged at 2024-08-02T00:30:32Z)\n", - "PR #24376: [community]: adding artifact to Tavily search (Merged at 2024-08-02T04:12:11Z)\n" - ] - } - ], - "source": [ - "# Get today's date in ISO 8601 format, starting from midnight\n", - "today = datetime.datetime.now().replace(hour=0, minute=0, second=0, microsecond=0).isoformat()\n", - "\n", - "# Fetch all merged PRs for today\n", - "merged_prs_today = github_client.fetch_pull_requests(repo='langchain-ai/langchain')\n", - "\n", - "# Print the titles of merged PRs\n", - "for pr in merged_prs_today:\n", - " print(f\"PR #{pr['number']}: {pr['title']} (Merged at {pr['closed_at']})\")" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "a8e0eade-0b0a-4d82-b746-5935b13c677f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "issue #24925: BaseTool's `tool_call_schema` ignores inherited fields of an `args_schema`, causing incomplete tool inputs \n" - ] - } - ], - "source": [ - "issues_today = github_client.fetch_issues(repo='langchain-ai/langchain')\n", - "\n", - "# Print the titles of issues\n", - "for issue in issues_today:\n", - " print(f\"issue #{issue['number']}: {issue['title']} \")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dc46c2a0-311f-4670-ae72-b7600c3db46b", - "metadata": {}, - "outputs": [], - "source": [ - "datetime.datetime.now().replace(hour=0, minute=0, second=0, microsecond=0).isoformat()" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "449da3e2-5c7b-4615-a3a1-58afeea9ff11", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Exported daily progress to daily_progress/langchain-ai_langchain/2024-08-04.md\n" - ] - }, - { - "data": { - "text/plain": [ - "'daily_progress/langchain-ai_langchain/2024-08-04.md'" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "github_client.export_daily_progress(repo='langchain-ai/langchain')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "251fc185-8344-4adc-9316-16b2211b05b8", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.14" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/src/jupyter/report_generator.ipynb b/src/jupyter/report_generator.ipynb index 2ecf2066..4dd5a919 100644 --- a/src/jupyter/report_generator.ipynb +++ b/src/jupyter/report_generator.ipynb @@ -2,30 +2,201 @@ "cells": [ { "cell_type": "markdown", - "id": "6c255161-31ca-4df7-b90a-8d6e36fe1d4a", + "id": "690b8105-a04e-4f9a-801a-767d5db93f90", "metadata": {}, "source": [ - "## ReportGenerator" + "# 进展报告自动生成\n", + "\n", + "基于项目文件（GitHubClient）调用大模型（LLM）自动生成项目进展报告。\n", + "\n", + "### 调用 OpenAI GPT 大模型\n", + "\n", + "相比 GitHub REST API ，OpenAI 提供的大模型相关 API 迭代速度快，且不够稳定。\n", + "\n", + "**GPT-4 很难能够准确的生成 OpenAI Client 相关代码**。\n", + "\n", + "因此，GitHubSentinel 项目中 LLM 相关调用代码由人类编写😁。\n" + ] + }, + { + "cell_type": "markdown", + "id": "de8f9beb-4de1-4ead-ad2d-4cc1b8692390", + "metadata": {}, + "source": [ + "## Prompt 优化测试\n", + "\n", + "基于 `GithubClient` 模块获取的 Repo 最新进展，先在 ChatGPT 中尝试获取可用的提示词（Prompt）方案。\n", + "\n", + "- **完整的ChatGPT 对话记录【GitHubSentinel 提示词优化】**：https://chatgpt.com/share/28524ea6-2bf3-4ebe-b7d9-9c1ba5f005d2\n", + "- 以下测试使用的 LangChain 项目文件为: `./daily_progress/langchain-ai_langchain/2024-08-18.md'`\n", + "\n", + "\n", + "### ChatGPT（GPT-4） 生成报告\n", + "\n", + "**Langchain-AI/Langchain Daily Progress Report - 2024-08-18**\n", + "\n", + "### 新增功能\n", + "1. **Langchain 模块添加**\n", + " - 新增了Langchain Box套件及其文档加载器 (`langchain-box: add langchain box package and DocumentLoader` #25506)\n", + " - 加入了新的社区提供者—Agentic RAG 示例 (`Community: Add Union provider - Agentic RAG example` #25509)\n", + " - 引入了更多的异步测试标准 (`standard-tests[patch]: async variations of all tests` #25501)\n", + " - 引入了对多种区块链的支持 (`community: add supported blockchains to Blockchain Document Loader` #25428)\n", + " \n", + "2. **文档与API更新**\n", + " - 更新了多个集成参考文档和Langchain版本的文档 (`docs: `integrations` reference update 9` #25511, `docs 0.3 release` #25459)\n", + " - 增加了新的文档索引和数据加载方式的说明 (`[docs]: more indexing of document loaders` #25500)\n", + "\n", + "### 主要改进\n", + "1. **测试与标准化**\n", + " - 添加了更多嵌入标准测试 (`more embeddings standard tests` #25513)\n", + " - 引入了JSON模式的标准测试 (`json mode standard test` #25497)\n", + " - 新增了各种文档加载器的文档 (`[Doc] Add docs for `ZhipuAIEmbeddings`` #25467)\n", + "\n", + "2. **框架和规则改进**\n", + " - 对Langchain核心模块进行了Pydantic解析器修复 (`langchain-core: added pydantic parser fix for issue #24995` #25516)\n", + " - 增加了B(bugbear) ruff规则以提高代码质量 (`core: Add B(bugbear) ruff rules` #25520)\n", + "\n", + "3. **集成与兼容性**\n", + " - 测试了Pydantic 2和Langchain 0.3的兼容性 (`openai[major] -- test with pydantic 2 and langchain 0.3` #25503)\n", + " - 准备了向Pydantic 2迁移的根验证器升级 (`openai[patch]: Upgrade @root_validators in preparation for pydantic 2 migration` #25491)\n", + "\n", + "### 修复问题\n", + "1. **错误修复**\n", + " - 修正了文档中的错别字和错误消息 (`docs: Fix typo in openai llm integration notebook` #25492, `docs: fix Agent deprecation msg` #25464)\n", + " - 解决了不同的搜索模式（向量与文本）产生不同结果的问题 (`Chroma search with vector and search with text get different result using the same embedding function` #25517)\n", + " - 修复了使用AzureSearch vectorstore时的文档ID作为键的问题 (`community : [bugfix] Use document ids as keys in AzureSearch vectorstore` #25486)\n", + "\n", + "2. **系统错误与异常处理**\n", + " - 解决了在调用特定链时缺少输入键的错误 (`Raises ValueError: Missing some input keys: {'query'} everytime I invoke 'GraphCypherQAChain.from_llm' chain with query present as input keys` #25476)\n", + " - 修正了未知类型 'ToolMessage' 的类型错误 (`TypeError: Got unknown type 'ToolMessage'.` #25490)\n", + "\n", + "---\n", + "\n", + "此简报详细总结了Langchain AI项目在2024年8月18日的最新进展，包括新增功能、主要改进和问题修复，确保团队成员了解最新的项目状态和即将到来的更新。\n" + ] + }, + { + "cell_type": "markdown", + "id": "554b5949-5982-4034-bce2-b186dedbd445", + "metadata": {}, + "source": [ + "## 前置依赖 logger 模块" ] }, { "cell_type": "code", "execution_count": 1, - "id": "ff220de9-68d1-4731-903c-9106470a9719", + "id": "f45cc627-7005-4943-92cc-212f7c98f556", + "metadata": {}, + "outputs": [], + "source": [ + "# src/logger.py\n", + "from loguru import logger\n", + "import sys\n", + "\n", + "# Configure Loguru\n", + "logger.remove() # Remove the default logger\n", + "logger.add(sys.stdout, level=\"DEBUG\", format=\"{time} {level} {message}\", colorize=True)\n", + "logger.add(\"logs/app.log\", rotation=\"1 MB\", level=\"DEBUG\")\n", + "\n", + "# Alias the logger for easier import\n", + "LOG = logger\n", + "\n", + "# Make the logger available for import with the alias\n", + "__all__ = [\"LOG\"]" + ] + }, + { + "cell_type": "markdown", + "id": "cb11497f-35fa-4024-bff2-24d4b0b3666c", + "metadata": {}, + "source": [ + "## LLM Class " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "cb4c8e66-41c5-4c60-9345-959f5bf935e2", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "from openai import OpenAI # 导入OpenAI库用于访问GPT模型\n", + "# from logger import LOG # 导入日志模块（演示时直接导入）\n", + "\n", + "class LLM:\n", + " def __init__(self, model=\"gpt-3.5-turbo\"):\n", + " # 创建一个OpenAI客户端实例\n", + " self.client = OpenAI()\n", + " # 确定使用的模型版本\n", + " self.model = model\n", + " # 配置日志文件，当文件大小达到1MB时自动轮转，日志级别为DEBUG\n", + " LOG.add(\"daily_progress/llm_logs.log\", rotation=\"1 MB\", level=\"DEBUG\")\n", + "\n", + " def generate_daily_report(self, markdown_content, dry_run=False):\n", + " # 构建一个用于生成报告的提示文本，要求生成的报告包含新增功能、主要改进和问题修复\n", + " prompt = f\"以下是项目的最新进展，根据功能合并同类项，形成一份简报，至少包含：1）新增功能；2）主要改进；3）修复问题；:\\n\\n{markdown_content}\"\n", + " \n", + " if dry_run:\n", + " # 如果启用了dry_run模式，将不会调用模型，而是将提示信息保存到文件中\n", + " LOG.info(\"Dry run mode enabled. Saving prompt to file.\")\n", + " with open(\"daily_progress/prompt.txt\", \"w+\") as f:\n", + " f.write(prompt)\n", + " LOG.debug(\"Prompt saved to daily_progress/prompt.txt\")\n", + " return \"DRY RUN\"\n", + "\n", + " # 日志记录开始生成报告\n", + " LOG.info(f\"Starting report generation using model: {self.model}.\")\n", + " \n", + " try:\n", + " # 调用OpenAI GPT模型生成报告\n", + " response = self.client.chat.completions.create(\n", + " model=self.model, # 指定使用的模型版本\n", + " messages=[\n", + " {\"role\": \"user\", \"content\": prompt} # 提交用户角色的消息\n", + " ]\n", + " )\n", + " LOG.debug(f\"{self.model} response: {response}\")\n", + " # 返回模型生成的内容\n", + " return response.choices[0].message.content\n", + " except Exception as e:\n", + " # 如果在请求过程中出现异常，记录错误并抛出\n", + " LOG.error(\"An error occurred while generating the report: {}\", e)\n", + " raise\n" + ] + }, + { + "cell_type": "markdown", + "id": "759d2f6d-d2a5-4524-be4f-7e94c53f07e7", + "metadata": {}, + "source": [ + "## ReportGenerator Class" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "652363c5-b211-48a9-93ae-54268e7ee13d", "metadata": {}, "outputs": [], "source": [ + "# src/report_generator.py\n", + "\n", "import os\n", - "from datetime import date\n", + "from datetime import date, timedelta\n", + "# from logger import LOG # 导入日志模块，用于记录日志信息\n", "\n", "class ReportGenerator:\n", " def __init__(self, llm):\n", - " self.llm = llm\n", + " self.llm = llm # 初始化时接受一个LLM实例，用于后续生成报告\n", "\n", " def export_daily_progress(self, repo, updates):\n", + " # 构建仓库的日志文件目录\n", " repo_dir = os.path.join('daily_progress', repo.replace(\"/\", \"_\"))\n", - " os.makedirs(repo_dir, exist_ok=True)\n", + " os.makedirs(repo_dir, exist_ok=True) # 如果目录不存在则创建\n", " \n", + " # 创建并写入日常进展的Markdown文件\n", " file_path = os.path.join(repo_dir, f'{date.today()}.md')\n", " with open(file_path, 'w') as file:\n", " file.write(f\"# Daily Progress for {repo} ({date.today()})\\n\\n\")\n", @@ -37,118 +208,188 @@ " file.write(f\"- {pr['title']} #{pr['number']}\\n\")\n", " return file_path\n", "\n", - " def export_time_range_progress(self, repo, updates, days):\n", + " def export_progress_by_date_range(self, repo, updates, days):\n", + " # 构建目录并写入特定日期范围的进展Markdown文件\n", " repo_dir = os.path.join('daily_progress', repo.replace(\"/\", \"_\"))\n", " os.makedirs(repo_dir, exist_ok=True)\n", "\n", - " date_str = f\"last_{days}_days\"\n", + " today = date.today()\n", + " since = today - timedelta(days=days) # 计算起始日期\n", + " \n", + " date_str = f\"{since}_to_{today}\" # 格式化日期范围字符串\n", " file_path = os.path.join(repo_dir, f'{date_str}.md')\n", + " \n", " with open(file_path, 'w') as file:\n", - " file.write(f\"# Progress for {repo} (Last {days} Days)\\n\\n\")\n", + " file.write(f\"# Progress for {repo} ({since} to {today})\\n\\n\")\n", " file.write(\"\\n## Issues Closed in the Last {days} Days\\n\")\n", " for issue in updates['issues']:\n", " file.write(f\"- {issue['title']} #{issue['number']}\\n\")\n", " file.write(\"\\n## Pull Requests Merged in the Last {days} Days\\n\")\n", " for pr in updates['pull_requests']:\n", " file.write(f\"- {pr['title']} #{pr['number']}\\n\")\n", + " \n", + " LOG.info(f\"Exported time-range progress to {file_path}\") # 记录导出日志\n", " return file_path\n", "\n", " def generate_daily_report(self, markdown_file_path):\n", + " # 读取Markdown文件并使用LLM生成日报\n", " with open(markdown_file_path, 'r') as file:\n", " markdown_content = file.read()\n", "\n", - " report = self.llm.generate_daily_report(markdown_content)\n", + " report = self.llm.generate_daily_report(markdown_content) # 调用LLM生成报告\n", "\n", " report_file_path = os.path.splitext(markdown_file_path)[0] + \"_report.md\"\n", " with open(report_file_path, 'w+') as report_file:\n", - " report_file.write(report)\n", + " report_file.write(report) # 写入生成的报告\n", "\n", - " print(f\"Generated report saved to {report_file_path}\")\n", + " LOG.info(f\"Generated report saved to {report_file_path}\") # 记录生成报告日志\n", "\n", - " def generate_time_range_report(self, markdown_file_path, days):\n", + " def generate_report_by_date_range(self, markdown_file_path, days):\n", + " # 生成特定日期范围的报告，流程与日报生成类似\n", " with open(markdown_file_path, 'r') as file:\n", " markdown_content = file.read()\n", "\n", - " report = self.llm.generate_time_range_report(markdown_content, days)\n", + " report = self.llm.generate_daily_report(markdown_content)\n", "\n", " report_file_path = os.path.splitext(markdown_file_path)[0] + f\"_report.md\"\n", " with open(report_file_path, 'w+') as report_file:\n", " report_file.write(report)\n", "\n", - " print(f\"Generated report saved to {report_file_path}\")\n" + " LOG.info(f\"Generated report saved to {report_file_path}\") # 记录生成报告日志\n" + ] + }, + { + "cell_type": "markdown", + "id": "e08d32e6-93d4-4593-a54a-51b8dffbc0e2", + "metadata": {}, + "source": [ + "## 调用 GPT-3.5-Turbo API 生成报告" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "2f9bee52-6b07-43d5-a438-43f9eba2e77d", - "metadata": { - "jupyter": { - "source_hidden": true + "execution_count": 4, + "id": "577d50a5-daf4-4d7d-adf4-6932af517037", + "metadata": {}, + "outputs": [], + "source": [ + "# 实例化 LLM，并使用默认的 GPT-3.5-Turbo 模型\n", + "llm = LLM()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "06114d2e-8a32-48f9-bcb8-4bb8e5460f3e", + "metadata": {}, + "outputs": [], + "source": [ + "# 实例化 ReportGenerator\n", + "report_generator = ReportGenerator(llm)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "fdb2b520-6a2f-4898-94cc-55e85d58fc3c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2024-08-18T13:40:30.318548+0000 INFO Starting report generation using model: gpt-3.5-turbo.\n", + "2024-08-18T13:40:32.095863+0000 DEBUG gpt-3.5-turbo response: ChatCompletion(id='chatcmpl-9xaQwudqfac0s4l6UVu9qt85SDu4S', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='## Daily Progress for langchain-ai/langchain (2024-08-18)\\n\\n### New Features\\n- Added embeddings integration tests\\n- Added langchain box package and DocumentLoader\\n\\n### Major Improvements\\n- Upgraded various components for compatibility with pydantic 2\\n\\n### Issue Fixes\\n- Fixed divide by 0 error in experimental feature\\n- Updated connection string in Azure Cosmos integration test\\n- Fixed various typos in documentation\\n- Fixed mimetype parser docstring\\n- Fixed API key checking code\\n\\nThis summarizes the latest updates and improvements made in the project.', role='assistant', function_call=None, tool_calls=None, refusal=None))], created=1723988430, model='gpt-3.5-turbo-0125', object='chat.completion', system_fingerprint=None, usage=CompletionUsage(completion_tokens=116, prompt_tokens=619, total_tokens=735))\n", + "2024-08-18T13:40:32.097204+0000 INFO Generated report saved to daily_progress/langchain-ai_langchain/2024-08-18_report.md\n" + ] } - }, + ], + "source": [ + "# 生成 LangChain 项目最近一日报告\n", + "report_generator.generate_daily_report(\n", + " markdown_file_path=\"daily_progress/langchain-ai_langchain/2024-08-18.md\")" + ] + }, + { + "cell_type": "markdown", + "id": "baa6d7c4-56c2-42f7-afc6-0b166e634ced", + "metadata": {}, + "source": [ + "## 调用 GPT-4-Turbo API 生成报告" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "49620292-834f-465d-8ba5-e3bbf0045ad0", + "metadata": {}, "outputs": [], "source": [ - "# src/llm.py\n", - "\n", - "import os\n", - "from openai import OpenAI\n", - "\n", - "class LLM:\n", - " def __init__(self):\n", - " self.client = OpenAI()\n", - "\n", - " def generate_daily_report(self, markdown_content, dry_run=False):\n", - " prompt = f\"以下是项目的最新进展，根据功能合并同类项，形成一份简报，至少包含：1）新增功能；2）主要改进；3）修复问题；:\\n\\n{markdown_content}\"\n", - " if dry_run:\n", - " with open(\"daily_progress/prompt.txt\", \"w+\") as f:\n", - " f.write(prompt)\n", - " return \"DRY RUN\"\n", - "\n", - " print(\"Before call GPT\")\n", - " response = self.client.chat.completions.create(\n", - " model=\"gpt-3.5-turbo\",\n", - " messages=[\n", - " {\"role\": \"user\", \"content\": prompt}\n", - " ]\n", - " )\n", - " print(\"After call GPT\")\n", - " print(response)\n", - " return response.choices[0].message.content\n" + "# 实例化 LLM，并使用指定的 GPT-4-Turbo 模型\n", + "gpt_4 = LLM(model=\"gpt-4-turbo\")" ] }, { "cell_type": "code", - "execution_count": 3, - "id": "a5f10edc-5871-4c28-b350-20e7fc321519", + "execution_count": 8, + "id": "12429122-8bde-406f-9b9f-ec671871ab8c", "metadata": {}, "outputs": [], "source": [ - "rg = ReportGenerator(LLM())" + "# 实例化 ReportGenerator, 并使用指定的 GPT-4-Turbo 模型\n", + "rg_gpt_4 = ReportGenerator(gpt_4)" ] }, { "cell_type": "code", - "execution_count": null, - "id": "b8ccc00b-4703-4070-ac4d-bba851c4699f", + "execution_count": 9, + "id": "3aff72bc-9324-4553-9fb9-5948b8715cd8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Before call GPT\n" + "2024-08-18T13:42:25.959286+0000 INFO Starting report generation using model: gpt-4-turbo.\n", + "2024-08-18T13:42:42.696473+0000 DEBUG gpt-4-turbo response: ChatCompletion(id='chatcmpl-9xaSosidtJbk0iJCW8fDn3P6dSraZ', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='# 简报：langchain-ai/langchain 项目进展（2024-08-18）\\n\\n## 1. 新增功能\\n- **langchain-box 包和 DocumentLoader 的加入**：新增了 `langchain-box` 包，以及其中的 `DocumentLoader` 组件，增强了文档处理功能。\\n\\n## 2. 主要改进\\n- **依赖和核心组件升级**：\\n - 升级多个模块以适配 Pydantic 2，涉及 `@root_validator` 的使用，改进了代码的一致性和稳定性，包括但不限于 modules: core, openai, voyageai, ai21, pinecone, mistralai, fireworks, together。\\n - 发布新版本：`core[patch]: Release 0.2.33` 和 `openai[patch]: Release 0.1.22`。\\n \\n## 3. 修复问题\\n- **文档和示例代码修复**：\\n - 修正了多个文档中存在的问题，例如 Databricks Vector Search 演示笔记本的修复、`openai` 集成笔记本错误的调用方式（`.invoke` 替换 `__call__`）、API 引用链接修复等。\\n - 更新了安装文档，添加了关于安装 `nltk` 和 `beautifulsoup4` 的提示。\\n- **功能性错误修正**：\\n - 修正了一个在 `experimental` 模块中的除以零错误。\\n- **代码整合改动**：\\n - `ContextualCompressionRetriever` 中的 `_DocumentWithState` 类被替换为更简洁的 `Document` 类，提高了代码的可读性与维护性。\\n\\n这份简报总结了项目在8月18日的关键进展，包括新功能的添加、主要组件和依赖的升级改进，以及多项问题的修复和文档的完善。持续关注项目更新可以确保团队成员和用户了解最新的产品动态和优化信息。', role='assistant', function_call=None, tool_calls=None, refusal=None))], created=1723988546, model='gpt-4-turbo-2024-04-09', object='chat.completion', system_fingerprint='fp_c77e07d4ef', usage=CompletionUsage(completion_tokens=521, prompt_tokens=619, total_tokens=1140))\n", + "2024-08-18T13:42:42.698040+0000 INFO Generated report saved to daily_progress/langchain-ai_langchain/2024-08-18_report.md\n" ] } ], "source": [ - "rg.generate_daily_report(\"../../daily_progress/langchain-ai_langchain/2024-08-04.md\")" + "# 生成 LangChain 项目最近一日报告\n", + "rg_gpt_4.generate_daily_report(\n", + " markdown_file_path=\"daily_progress/langchain-ai_langchain/2024-08-18.md\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7492030c-449b-4d57-9503-4a18fa669438", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1cd2cfd8-1945-4870-b2db-f53f7e408144", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "cae5aea5-7df9-4c0d-97a8-1d80cef0cf0f", + "metadata": {}, + "source": [ + "### Homework: 与ChatGPT深度对话，尝试使用 System role 提升报告质量和稳定性" ] }, { "cell_type": "code", "execution_count": null, - "id": "54ddc075-646b-4e47-a77b-fb0453d1e1a4", + "id": "fbb42712-590f-45fc-b156-e902a3745e78", "metadata": {}, "outputs": [], "source": [] diff --git a/src/llm.py b/src/llm.py index 82908494..81904f88 100644 --- a/src/llm.py +++ b/src/llm.py @@ -1,36 +1,41 @@ -# src/llm.py - import os -from openai import OpenAI -from logger import LOG +from openai import OpenAI # 导入OpenAI库用于访问GPT模型 +from logger import LOG # 导入日志模块 class LLM: def __init__(self): + # 创建一个OpenAI客户端实例 self.client = OpenAI() + # 配置日志文件，当文件大小达到1MB时自动轮转，日志级别为DEBUG LOG.add("daily_progress/llm_logs.log", rotation="1 MB", level="DEBUG") def generate_daily_report(self, markdown_content, dry_run=False): + # 构建一个用于生成报告的提示文本，要求生成的报告包含新增功能、主要改进和问题修复 prompt = f"以下是项目的最新进展，根据功能合并同类项，形成一份简报，至少包含：1）新增功能；2）主要改进；3）修复问题；:\n\n{markdown_content}" if dry_run: + # 如果启用了dry_run模式，将不会调用模型，而是将提示信息保存到文件中 LOG.info("Dry run mode enabled. Saving prompt to file.") with open("daily_progress/prompt.txt", "w+") as f: f.write(prompt) LOG.debug("Prompt saved to daily_progress/prompt.txt") return "DRY RUN" + # 日志记录开始生成报告 LOG.info("Starting report generation using GPT model.") try: + # 调用OpenAI GPT模型生成报告 response = self.client.chat.completions.create( - model="gpt-3.5-turbo", + model="gpt-3.5-turbo", # 指定使用的模型版本 messages=[ - {"role": "user", "content": prompt} + {"role": "user", "content": prompt} # 提交用户角色的消息 ] ) LOG.debug("GPT response: {}", response) + # 返回模型生成的内容 return response.choices[0].message.content except Exception as e: + # 如果在请求过程中出现异常，记录错误并抛出 LOG.error("An error occurred while generating the report: {}", e) raise - diff --git a/src/report_generator.py b/src/report_generator.py index 29e4c89b..37aa7bdc 100644 --- a/src/report_generator.py +++ b/src/report_generator.py @@ -1,15 +1,19 @@ +# src/report_generator.py + import os from datetime import date, timedelta -from logger import LOG +from logger import LOG # 导入日志模块，用于记录日志信息 class ReportGenerator: def __init__(self, llm): - self.llm = llm + self.llm = llm # 初始化时接受一个LLM实例，用于后续生成报告 def export_daily_progress(self, repo, updates): + # 构建仓库的日志文件目录 repo_dir = os.path.join('daily_progress', repo.replace("/", "_")) - os.makedirs(repo_dir, exist_ok=True) + os.makedirs(repo_dir, exist_ok=True) # 如果目录不存在则创建 + # 创建并写入日常进展的Markdown文件 file_path = os.path.join(repo_dir, f'{date.today()}.md') with open(file_path, 'w') as file: file.write(f"# Daily Progress for {repo} ({date.today()})\n\n") @@ -22,14 +26,14 @@ def export_daily_progress(self, repo, updates): return file_path def export_progress_by_date_range(self, repo, updates, days): + # 构建目录并写入特定日期范围的进展Markdown文件 repo_dir = os.path.join('daily_progress', repo.replace("/", "_")) os.makedirs(repo_dir, exist_ok=True) today = date.today() - since = today - timedelta(days=days) + since = today - timedelta(days=days) # 计算起始日期 - # Updated filename with date range - date_str = f"{since}_to_{today}" + date_str = f"{since}_to_{today}" # 格式化日期范围字符串 file_path = os.path.join(repo_dir, f'{date_str}.md') with open(file_path, 'w') as file: @@ -41,24 +45,28 @@ def export_progress_by_date_range(self, repo, updates, days): for pr in updates['pull_requests']: file.write(f"- {pr['title']} #{pr['number']}\n") - LOG.info(f"Exported time-range progress to {file_path}") + LOG.info(f"Exported time-range progress to {file_path}") # 记录导出日志 return file_path def generate_daily_report(self, markdown_file_path): + # 读取Markdown文件并使用LLM生成日报 with open(markdown_file_path, 'r') as file: markdown_content = file.read() - report = self.llm.generate_daily_report(markdown_content) + report = self.llm.generate_daily_report(markdown_content) # 调用LLM生成报告 report_file_path = os.path.splitext(markdown_file_path)[0] + "_report.md" with open(report_file_path, 'w+') as report_file: - report_file.write(report) + report_file.write(report) # 写入生成的报告 - LOG.info(f"Generated report saved to {report_file_path}") + + LOG.info(f"Generated report saved to {report_file_path}") # 记录生成报告日志 return report, report_file_path + def generate_report_by_date_range(self, markdown_file_path, days): + # 生成特定日期范围的报告，流程与日报生成类似 with open(markdown_file_path, 'r') as file: markdown_content = file.read() @@ -68,6 +76,8 @@ def generate_report_by_date_range(self, markdown_file_path, days): with open(report_file_path, 'w+') as report_file: report_file.write(report) - LOG.info(f"Generated report saved to {report_file_path}") + + LOG.info(f"Generated report saved to {report_file_path}") # 记录生成报告日志 return report, report_file_path +