Update resume_tools.py

resume_tools.py

@@ -1,255 +1,255 @@
-from smolagents import CodeAgent, LiteLLMModel, tool
-from pypdf import PdfReader
-import google.generativeai as genai
-import os
-from typing import List
-from utils import CURRENT_RESUME_LATEX
-import os
-import json
-
-config = json.load(open("config.json"))
-os.environ["GOOGLE_API_KEY"] = config["GOOGLE_API_KEY"]
-
-@tool
-def header_details(name: str, mobile_number: str, email_id: str, linkedin_profile_link : str, github_link: str) -> str:
-    """
-    Generates header details of the person. It will display the name, mobile_number, email_id, linkedin profile and github profile
-    
-    Args:
-        name(str): Name of the candidate
-        mobile_number(str): Mobile number of the candidate
-        email_id(str): email_id
-        linkedin_profile_link(str): Linkedin profile link of the candidate.
-        github_link(str): github link of the candidate.
-    
-    Returns:
-        str: Instruction for the next steps
-    """
-
-    header_latex = r""" 
-
-            \begin{center}
-                \textbf{\Huge \scshape """
-    header_latex+= name + r"""} \\ \vspace{1pt}
-                \small""" + mobile_number + r""" $|$ \href{mailto:[email protected]}{\underline{"""
-    header_latex+= email_id + r"""}} $|$ 
-                \href{https://linkedin.com/in/...}{\underline{"""
-    header_latex+=linkedin_profile_link + r"""}} $|$
-    \href{https://github.com/...}{\underline{"""
-    header_latex+=github_link + r"""}}
-    \end{center}
-
-
-    """
-    global CURRENT_RESUME_LATEX
-    CURRENT_RESUME_LATEX += header_latex
-    response_message = "Now call professional_summary_tool"
-    return response_message
-
-
-@tool
-def professional_summary(summary: str) -> str:
-    """
-    Creates a Professional Experience summary section of the candidate. 
-    
-    Args:
-        summary (str): The generated summary should be in less than 4 lines. It should follow the STAR method while generating the summary. It should speak about the experience and the role he is applying for.
-        (e.g: Accomplished Gen AI Specialist with expertise in machine learning (ML), deep learning (DL), generative AI, and AI Agents, proficient in end-to end development from design to deployment. Skilled in problem-solving, data structures and algorithms (DSA), strong analytical abilities, and debugging complex systems. Passionate about optimizing ML model performance to deliver efficient, high-impact AI solutions. Adept at leveraging the full AI stack to drive innovation and achieve business objectives in fast-paced, technology-focused environments)
-    
-    
-    Returns:
-        str: Instruction for the next steps
-    """
-
-    summary_latex = """
-    
-    \section{Professional Summary}
-    """
-    summary_latex += rf"""
-    {{{summary}}}
-    """
-    summary_latex = summary_latex.replace("%","\%")
-    global CURRENT_RESUME_LATEX
-    CURRENT_RESUME_LATEX += summary_latex
-    response_message = "Now call the professional_experience_tool"
-    return response_message
-
-@tool
-def professional_experience(experiences: List[dict]) -> str:
-    """
-   Creates an Experience section for a user.Processes the user work experiences across different companies and generates a string in latex form which will be used in further steps
-
-
-    Args:
-        experiences (list of dict): A list where each dict contains:
-            - company_name (required) (str): Name of the company.
-            - place (Optional) (str): Location of the company. If not mentioned in the resume then keep it as empty string "".
-            - period (required) (str): Employment duration (e.g., "Jan 2020 - Dec 2022").
-            - role (required) (str): Title or designation.
-            - bullet_points (required) (list of str): Key achievements/responsibilities. These points must be in ATS friendly format, quantifying things and  following the STAR method(situation, task , action and result)(eg. reduced latency by 5ms, improved accuracy by 50%).
-
-    Returns:
-        str: Instruction for the next steps
-    """
-    Experience_latex = r"""
-    
-    \section{Professional Experience}
-    \resumeSubHeadingListStart
-    """
-    for exp in experiences:
-        company = exp['company_name']
-        period  = exp['period']
-        place   = exp['place']
-        role    = exp['role']
-        bullet_points = exp['bullet_points']
-        Experience_latex += rf"""
-            \resumeSubheading
-              {{{role}}}{{{period}}}
-              {{{company}}}{{{place}}}
-              \resumeItemListStart
-              
-            """
-        for item in bullet_points:
-            Experience_latex += rf"""
-            \resumeItem{{{item}}}
-            """
-        Experience_latex += r"""
-        \resumeItemListEnd
-       
-    \resumeSubHeadingListEnd
-    """
-    Experience_latex = Experience_latex.replace("%","\%")
-    global CURRENT_RESUME_LATEX
-    CURRENT_RESUME_LATEX += Experience_latex
-    response_message = "Now call the projects tool"
-    return response_message
-
-
-@tool
-def projects(projects: List[dict]) -> str :
-    """
-    Creates an projects section for a user. Processes the projects and generates a string in latex form which will be used in further steps
-
-    Args:
-        projects (list of dict): A list where each dict contains:
-            - project_name (required) (str): Name of the project.
-            - tools_used (required)(list[str]): Tools and technologies used in the project (eg Python, Flask, React, PostgreSQL, Docker). It is a list of strings.
-            - period (required)(str): Employment duration (e.g., "Jan 2020 - Dec 2022").
-            - bullet_points (required) (list of str): Key achievements/responsibilities.These points must be in ATS friendly format, quantifying things and  following the STAR method(situation, task , action and result)(eg. reduced latency by 5ms, improved accuracy by 50%).
-
-    Returns:
-        str: Instruction for the next steps
-    """
-    Projects_latex = r"""
-    
-    \section{Projects}
-    \resumeSubHeadingListStart
-    """
-    for project in projects:
-        project_name = project['project_name']
-        period = project['period']
-        tools = ", ".join(project['tools_used'])
-        bullet_points = project['bullet_points']
-        
-        Projects_latex += rf"""
-        \resumeProjectHeading
-            {{\textbf{{{project_name}}} \textit{{| {tools}}}}}{{}}
-        \resumeItemListStart"""
-        
-        for item in bullet_points:
-            Projects_latex += rf"""\resumeItem{{{item}}}"""
-            
-        Projects_latex += r"""\resumeItemListEnd"""
-        
-    Projects_latex += r"""\resumeSubHeadingListEnd"""
-    Projects_latex = Projects_latex.replace("%","\%")
-    
-    global CURRENT_RESUME_LATEX
-    CURRENT_RESUME_LATEX += Projects_latex
-    response_message = "Now call the skills tool"
-    return response_message
-
-@tool
-def Education(education : List[dict]) -> str:
-    """
-    Generates an Education section for the candidate. It generates a string which will be processed in the further steps.
-
-    Args:
-        education (list of dict): A list where each dict contains:
-            - Institute (required) (str): Name of the Institute.
-            - place (required)(str): Location of the Institute.
-            - period (required)(str): Education duration (e.g., "Jan 2020 - Dec 2022").
-            - specialization (required) (str): Specialization of education (e.g., "Bachelors in computer science", "Intermediate", "High School")
-
-    Returns:
-        str: Instruction for the next steps
-    """
-    Education_latex = r"""
-    
-    \section{Education}
-    \resumeSubHeadingListStart
-    """
-    for edu in education:
-        institute_name = edu["Institute"]
-        place = edu["place"]
-        period = edu["period"]
-        specialization = edu["specialization"]
-        studies = rf"""
-        \resumeSubheading
-            {{{institute_name}}}{{{place}}}
-            {{{specialization}}}{{{period}}}
-        """
-        Education_latex+=studies
-    Education_latex = Education_latex.replace("%","\%")
-    global CURRENT_RESUME_LATEX
-    CURRENT_RESUME_LATEX += Education_latex
-    response_message = "Now call the achievements tool"
-    return response_message
-
-@tool
-def achievements(achievements : List[str]) -> str:
-    """
-    Generates an achievements section for the candidate's resume in LaTeX format.
-
-    Args:
-        achievements (List[str]): List of achievement strings to be included in the resume
-
-    Returns:
-        str: Instruction for the next steps
-    """
-    achievements_latex = r"""
-    
-    \section{Achievements}
-    \resumeItemListStart"""
-
-    for achievement in achievements:
-        achievements_latex += rf"""
-        \resumeItem{{{achievement}}}"""
-        
-    achievements_latex += r"""
-    \resumeItemListEnd
-
-    \end{document}
-    """
-    achievements_latex = achievements_latex.replace("%","\%")
-    global CURRENT_RESUME_LATEX
-    CURRENT_RESUME_LATEX += achievements_latex
-    response_message = "Created a file in your pc"
-    return response_message
-
-
-def create_resume_agent(prompt: str): 
-    try:
-        model = LiteLLMModel(model_id="gemini/gemini-2.0-flash-exp",
-                        api_key=os.getenv("GOOGLE_API_KEY"))
-        resume_agent =CodeAgent(
-        tools = [header_details,professional_summary,professional_experience,projects,skills,Education,achievements],
-        model = model
-        )
-        print(resume_agent)
-        resume_agent.run(prompt)
-        global CURRENT_RESUME_LATEX
-        print(CURRENT_RESUME_LATEX)
-        return CURRENT_RESUME_LATEX
-    except Exception as e:
+from smolagents import CodeAgent, LiteLLMModel, tool
+from pypdf import PdfReader
+import google.generativeai as genai
+import os
+from typing import List
+from utils import CURRENT_RESUME_LATEX
+import os
+import json
+
+# config = json.load(open("config.json"))
+# os.environ["GOOGLE_API_KEY"] = config["GOOGLE_API_KEY"]
+
+@tool
+def header_details(name: str, mobile_number: str, email_id: str, linkedin_profile_link : str, github_link: str) -> str:
+    """
+    Generates header details of the person. It will display the name, mobile_number, email_id, linkedin profile and github profile
+    
+    Args:
+        name(str): Name of the candidate
+        mobile_number(str): Mobile number of the candidate
+        email_id(str): email_id
+        linkedin_profile_link(str): Linkedin profile link of the candidate.
+        github_link(str): github link of the candidate.
+    
+    Returns:
+        str: Instruction for the next steps
+    """
+
+    header_latex = r""" 
+
+            \begin{center}
+                \textbf{\Huge \scshape """
+    header_latex+= name + r"""} \\ \vspace{1pt}
+                \small""" + mobile_number + r""" $|$ \href{mailto:[email protected]}{\underline{"""
+    header_latex+= email_id + r"""}} $|$ 
+                \href{https://linkedin.com/in/...}{\underline{"""
+    header_latex+=linkedin_profile_link + r"""}} $|$
+    \href{https://github.com/...}{\underline{"""
+    header_latex+=github_link + r"""}}
+    \end{center}
+
+
+    """
+    global CURRENT_RESUME_LATEX
+    CURRENT_RESUME_LATEX += header_latex
+    response_message = "Now call professional_summary_tool"
+    return response_message
+
+
+@tool
+def professional_summary(summary: str) -> str:
+    """
+    Creates a Professional Experience summary section of the candidate. 
+    
+    Args:
+        summary (str): The generated summary should be in less than 4 lines. It should follow the STAR method while generating the summary. It should speak about the experience and the role he is applying for.
+        (e.g: Accomplished Gen AI Specialist with expertise in machine learning (ML), deep learning (DL), generative AI, and AI Agents, proficient in end-to end development from design to deployment. Skilled in problem-solving, data structures and algorithms (DSA), strong analytical abilities, and debugging complex systems. Passionate about optimizing ML model performance to deliver efficient, high-impact AI solutions. Adept at leveraging the full AI stack to drive innovation and achieve business objectives in fast-paced, technology-focused environments)
+    
+    
+    Returns:
+        str: Instruction for the next steps
+    """
+
+    summary_latex = """
+    
+    \section{Professional Summary}
+    """
+    summary_latex += rf"""
+    {{{summary}}}
+    """
+    summary_latex = summary_latex.replace("%","\%")
+    global CURRENT_RESUME_LATEX
+    CURRENT_RESUME_LATEX += summary_latex
+    response_message = "Now call the professional_experience_tool"
+    return response_message
+
+@tool
+def professional_experience(experiences: List[dict]) -> str:
+    """
+   Creates an Experience section for a user.Processes the user work experiences across different companies and generates a string in latex form which will be used in further steps
+
+
+    Args:
+        experiences (list of dict): A list where each dict contains:
+            - company_name (required) (str): Name of the company.
+            - place (Optional) (str): Location of the company. If not mentioned in the resume then keep it as empty string "".
+            - period (required) (str): Employment duration (e.g., "Jan 2020 - Dec 2022").
+            - role (required) (str): Title or designation.
+            - bullet_points (required) (list of str): Key achievements/responsibilities. These points must be in ATS friendly format, quantifying things and  following the STAR method(situation, task , action and result)(eg. reduced latency by 5ms, improved accuracy by 50%).
+
+    Returns:
+        str: Instruction for the next steps
+    """
+    Experience_latex = r"""
+    
+    \section{Professional Experience}
+    \resumeSubHeadingListStart
+    """
+    for exp in experiences:
+        company = exp['company_name']
+        period  = exp['period']
+        place   = exp['place']
+        role    = exp['role']
+        bullet_points = exp['bullet_points']
+        Experience_latex += rf"""
+            \resumeSubheading
+              {{{role}}}{{{period}}}
+              {{{company}}}{{{place}}}
+              \resumeItemListStart
+              
+            """
+        for item in bullet_points:
+            Experience_latex += rf"""
+            \resumeItem{{{item}}}
+            """
+        Experience_latex += r"""
+        \resumeItemListEnd
+       
+    \resumeSubHeadingListEnd
+    """
+    Experience_latex = Experience_latex.replace("%","\%")
+    global CURRENT_RESUME_LATEX
+    CURRENT_RESUME_LATEX += Experience_latex
+    response_message = "Now call the projects tool"
+    return response_message
+
+
+@tool
+def projects(projects: List[dict]) -> str :
+    """
+    Creates an projects section for a user. Processes the projects and generates a string in latex form which will be used in further steps
+
+    Args:
+        projects (list of dict): A list where each dict contains:
+            - project_name (required) (str): Name of the project.
+            - tools_used (required)(list[str]): Tools and technologies used in the project (eg Python, Flask, React, PostgreSQL, Docker). It is a list of strings.
+            - period (required)(str): Employment duration (e.g., "Jan 2020 - Dec 2022").
+            - bullet_points (required) (list of str): Key achievements/responsibilities.These points must be in ATS friendly format, quantifying things and  following the STAR method(situation, task , action and result)(eg. reduced latency by 5ms, improved accuracy by 50%).
+
+    Returns:
+        str: Instruction for the next steps
+    """
+    Projects_latex = r"""
+    
+    \section{Projects}
+    \resumeSubHeadingListStart
+    """
+    for project in projects:
+        project_name = project['project_name']
+        period = project['period']
+        tools = ", ".join(project['tools_used'])
+        bullet_points = project['bullet_points']
+        
+        Projects_latex += rf"""
+        \resumeProjectHeading
+            {{\textbf{{{project_name}}} \textit{{| {tools}}}}}{{}}
+        \resumeItemListStart"""
+        
+        for item in bullet_points:
+            Projects_latex += rf"""\resumeItem{{{item}}}"""
+            
+        Projects_latex += r"""\resumeItemListEnd"""
+        
+    Projects_latex += r"""\resumeSubHeadingListEnd"""
+    Projects_latex = Projects_latex.replace("%","\%")
+    
+    global CURRENT_RESUME_LATEX
+    CURRENT_RESUME_LATEX += Projects_latex
+    response_message = "Now call the skills tool"
+    return response_message
+
+@tool
+def Education(education : List[dict]) -> str:
+    """
+    Generates an Education section for the candidate. It generates a string which will be processed in the further steps.
+
+    Args:
+        education (list of dict): A list where each dict contains:
+            - Institute (required) (str): Name of the Institute.
+            - place (required)(str): Location of the Institute.
+            - period (required)(str): Education duration (e.g., "Jan 2020 - Dec 2022").
+            - specialization (required) (str): Specialization of education (e.g., "Bachelors in computer science", "Intermediate", "High School")
+
+    Returns:
+        str: Instruction for the next steps
+    """
+    Education_latex = r"""
+    
+    \section{Education}
+    \resumeSubHeadingListStart
+    """
+    for edu in education:
+        institute_name = edu["Institute"]
+        place = edu["place"]
+        period = edu["period"]
+        specialization = edu["specialization"]
+        studies = rf"""
+        \resumeSubheading
+            {{{institute_name}}}{{{place}}}
+            {{{specialization}}}{{{period}}}
+        """
+        Education_latex+=studies
+    Education_latex = Education_latex.replace("%","\%")
+    global CURRENT_RESUME_LATEX
+    CURRENT_RESUME_LATEX += Education_latex
+    response_message = "Now call the achievements tool"
+    return response_message
+
+@tool
+def achievements(achievements : List[str]) -> str:
+    """
+    Generates an achievements section for the candidate's resume in LaTeX format.
+
+    Args:
+        achievements (List[str]): List of achievement strings to be included in the resume
+
+    Returns:
+        str: Instruction for the next steps
+    """
+    achievements_latex = r"""
+    
+    \section{Achievements}
+    \resumeItemListStart"""
+
+    for achievement in achievements:
+        achievements_latex += rf"""
+        \resumeItem{{{achievement}}}"""
+        
+    achievements_latex += r"""
+    \resumeItemListEnd
+
+    \end{document}
+    """
+    achievements_latex = achievements_latex.replace("%","\%")
+    global CURRENT_RESUME_LATEX
+    CURRENT_RESUME_LATEX += achievements_latex
+    response_message = "Created a file in your pc"
+    return response_message
+
+
+def create_resume_agent(prompt: str): 
+    try:
+        model = LiteLLMModel(model_id="gemini/gemini-2.0-flash-exp",
+                        api_key=os.getenv("GOOGLE_API_KEY"))
+        resume_agent =CodeAgent(
+        tools = [header_details,professional_summary,professional_experience,projects,skills,Education,achievements],
+        model = model
+        )
+        print(resume_agent)
+        resume_agent.run(prompt)
+        global CURRENT_RESUME_LATEX
+        print(CURRENT_RESUME_LATEX)
+        return CURRENT_RESUME_LATEX
+    except Exception as e:
         return e