diff --git a/api/controllers/inner_tools/answers_summary_analysis.py b/api/controllers/inner_tools/answers_summary_analysis.py index 0bfde4b257..b2365d5f6e 100644 --- a/api/controllers/inner_tools/answers_summary_analysis.py +++ b/api/controllers/inner_tools/answers_summary_analysis.py @@ -1,15 +1,19 @@ -import io import json +import uuid from typing import Any, Dict, List, Optional, Tuple import chardet from controllers.inner_tools import api +from core.tools.tool_file_manager import ToolFileManager from extensions.ext_database import db from extensions.ext_storage import storage -from flask import jsonify, request +from flask import jsonify, request, send_file from flask_restful import Resource # type: ignore +from jinja2 import Template +from models.account import Tenant from models.model import UploadFile from models.workflow import WorkflowRun +from weasyprint import HTML class AnswersSummaryAnalysisApi(Resource): @@ -138,18 +142,29 @@ class AnswersSummaryAnalysisApi(Resource): def _calculate_category_statistics( self, parsed_answers: List[Dict[str, Any]], categories: List[Dict[str, Any]] - ) -> Dict[str, float]: + ) -> List[Dict[str, Any]]: """Calculate statistics by category. For demonstration, we're assuming: - Correct answers are predetermined or defined in the system - We're calculating the percentage of correct answers per category + + Returns: + A list of dictionaries with category statistics: + [ + { + "category": str, + "correct_rate": float, + "error_count": int, + "total_count": int + } + ] """ # Simplified example: assume we have correct answers defined # In a real system, these would come from a database or predefined source # For now, we'll just count non-empty answers - summary = {} + summary = [] # For each category in the list for category in categories: @@ -178,11 +193,156 @@ class AnswersSummaryAnalysisApi(Resource): continue # Calculate percentage - rate = valid_answers / total_answers if total_answers > 0 else 0 - summary[category_name] = round(rate, 2) + correct_rate = valid_answers / total_answers if total_answers > 0 else 0 + error_count = total_answers - valid_answers + + summary.append( + { + "category": category_name, + "correct_rate": round(correct_rate, 2), + "error_count": error_count, + "total_count": total_answers, + } + ) return summary -# Add API endpoint +class GenerateAnalysisReportApi(Resource): + def post(self): + """Generate a PDF analysis report based on the provided data.""" + if not request.is_json: + return {"error": "Request must be JSON"}, 400 + + data = request.get_json() + summary_analysis = data.get('summary_analysis') + school_name = data.get('school_name', '山东单县一中') # Default value if not provided + + if not summary_analysis: + return {"error": "summary_analysis is required"}, 400 + + # HTML template for the report + html_template = """ + + + + + + + +

模拟考分析报告

+
Analysis of Examination
+ +

{{ school_name }}

+ +
+
+
总参考人数:
+
总平均分:
+
省内排名:
+
+
+
省内总人数:
+
省内平均分:
+
全国排名:
+
+
+ +
+

题目分析:

+ + {% for category in summary_analysis %} +
+
{{ category.category }}
+
+
+ + 错误数{{ category.error_count }} / 总数{{ category.total_count }} + 失分比{{ (1 - category.correct_rate) * 100 }}% + +
+
+ {% endfor %} +
+ + + """ + + # Create the HTML with the template + template = Template(html_template) + html_content = template.render(school_name=school_name, summary_analysis=summary_analysis) + + # Generate PDF + html = HTML(string=html_content) + pdf_file = html.write_pdf() + + if pdf_file is None: + return {"error": "Failed to generate PDF"}, 500 + + # Get the first tenant from database (similar to markdown_to_pdf.py) + tenant = Tenant.query.first() + if not tenant: + return {"error": "No tenant found"}, 400 + + tenant_id = tenant.id + + # Generate filename + filename = f"analysis_report_{school_name}_{uuid.uuid4().hex[:8]}.pdf" + + # Save the file using ToolFileManager + tool_file = ToolFileManager.create_file_by_raw( + user_id=None, + tenant_id=tenant_id, + conversation_id=None, + file_binary=pdf_file, + mimetype='application/pdf', + ) + + # Return the file info with URL + file_url = ToolFileManager.sign_file(tool_file.id, '.pdf') + return jsonify({'url': file_url, 'file_id': tool_file.id, 'file_name': filename, 'file_size': tool_file.size}) + + +# Add API endpoints api.add_resource(AnswersSummaryAnalysisApi, '/answers-summary-analysis') +api.add_resource(GenerateAnalysisReportApi, '/generate-analysis-report') diff --git a/api/poetry.lock b/api/poetry.lock index 014711a2ac..16fd8ddbd1 100644 --- a/api/poetry.lock +++ b/api/poetry.lock @@ -1118,7 +1118,7 @@ description = "Python CFFI bindings to the Brotli library" optional = false python-versions = ">=3.7" groups = ["main"] -markers = "platform_python_implementation == \"PyPy\"" +markers = "platform_python_implementation != \"CPython\"" files = [ {file = "brotlicffi-1.1.0.0-cp37-abi3-macosx_10_9_x86_64.whl", hash = "sha256:9b7ae6bd1a3f0df532b6d67ff674099a96d22bc0948955cb338488c31bfb8851"}, {file = "brotlicffi-1.1.0.0-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:19ffc919fa4fc6ace69286e0a23b3789b4219058313cf9b45625016bf7ff996b"}, @@ -2099,6 +2099,26 @@ files = [ {file = 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