Update cv_prompt.py

cv_prompt.py

@@ -4,6 +4,7 @@ from langchain_core.pydantic_v1 import BaseModel, Field
 from langchain.output_parsers import PydanticOutputParser
 from langchain_core.prompts import PromptTemplate
 
+
 def load_json_file(filename):
     try:
         with open(filename, 'r', encoding='utf-8') as f:
@@ -51,6 +52,43 @@ class ResumeQualityEvaluation(BaseModel):
     work_experience: WorkExperience = Field(description="Evaluation of the work experience section")
     profile: Profile = Field(description="Evaluation of the profile section")
 
+def get_content_quality_prompt(text):
+    parser = PydanticOutputParser(pydantic_object=ResumeQualityEvaluation)
+    
+    prompt = PromptTemplate(
+        template="""<s>[INST]Evaluate the quality of the following resume sections:
+
+{resume}
+
+Provide a detailed evaluation following this format:
+{format_instructions}
+
+For each section, evaluate the presence and quality of required elements:
+
+1. Education:
+   - Check for the presence of Degree, Year, and Institution for each education entry
+   - Provide a score (0-10) for each education entry based on completeness and clarity
+
+2. Work Experience:
+   - Check for the presence of Job title, Company, dates, used technologies, Responsibilities, and Achievements for each work experience entry
+   - Evaluate the quality of Responsibilities description (0-10)
+   - Evaluate the quality of Achievements description (0-10)
+   - Provide a score (0-10) for each work experience entry based on completeness, clarity, and the quality of descriptions
+
+3. Profile:
+   - Check for the presence of a brief overview, career goals, and objective
+   - Provide an overall score (0-10) based on the completeness and clarity of the profile
+
+Provide an overall score for each section on a scale of 0-10 based on the presence of elements and their quality where applicable.[/INST]""",
+        input_variables=["resume"],
+        partial_variables={"format_instructions": parser.get_format_instructions()}
+    )
+    
+    return prompt.format(resume=text)
+
+
+
+
 def get_personal_info_prompt(text):
     return f"""<s>[INST]Extract the personal information from the following CV text. The text may be in any language. Respond with a JSON object in the format {{"name": "extracted name", "email": "extracted email", "phone": "extracted phone number", "location": "extracted location"}}. If you can't find any of the information, set the value to null.
 
@@ -82,25 +120,7 @@ CV text:
 Respond with a JSON object with a key "present_sections" containing an array of the identified sections. 
 Only include sections that are actually present in the CV. [/INST]"""
 
-def get_content_quality_prompt(text):
-    parser = PydanticOutputParser(pydantic_object=ResumeQualityEvaluation)
-    
-    prompt = PromptTemplate(
-        template="""<s>[INST]Evaluate the quality of the following resume sections:
 
-{resume}
-
-Provide a detailed evaluation following this format:
-{format_instructions}
-
-For each section, evaluate the presence of required elements.
-For the Work Experience section, also evaluate the quality of the Responsibilities and Achievements descriptions on a scale of 0-10.
-Provide an overall score for each section on a scale of 0-10 based on the presence of elements and their quality where applicable.[/INST]""",
-        input_variables=["resume"],
-        partial_variables={"format_instructions": parser.get_format_instructions()}
-    )
-    
-    return prompt.format(resume=text)
 
 def calculate_section_detection_score(detected_sections):
     total_score = 0