From 7a48bbe67c21030b4a6e3d7516d25f4ed5fe474e Mon Sep 17 00:00:00 2001 From: Justin Flick Date: Sun, 2 Feb 2025 16:30:42 -0800 Subject: [PATCH] lint fixes --- .github/workflows/test.yml | 1 - Makefile | 2 +- poetry.lock | 1122 +++++++++++++++++++++++++++++++- pyproject.toml | 13 + tests/test_db.py | 1 - tests/test_llm.py | 11 +- tests/test_models.py | 1 - tests/test_resume_optimizer.py | 22 +- tests/test_scraper.py | 3 +- yaart/llm.py | 17 +- yaart/models.py | 135 ++-- yaart/optimizer.py | 8 +- yaart/prompts.py | 4 +- yaart/scraper.py | 9 +- 14 files changed, 1236 insertions(+), 113 deletions(-) diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 9a7b9c0..bf97779 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -52,4 +52,3 @@ jobs: uses: codecov/codecov-action@v5 with: token: ${{ secrets.CODECOV_TOKEN }} - shell: bash diff --git a/Makefile b/Makefile index c28ddb9..f9eaca6 100644 --- a/Makefile +++ b/Makefile @@ -29,7 +29,7 @@ lint_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d master | gr lint lint_diff: poetry run mypy $(PYTHON_FILES) - poetry run black $(PYTHON_FILES) --check + poetry run ruff format poetry run ruff . TEST_FILE ?= tests/ diff --git a/poetry.lock b/poetry.lock index 6b48b2e..357ee6b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" @@ -6,6 +6,7 @@ version = "2.4.4" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"}, {file = "aiohappyeyeballs-2.4.4.tar.gz", hash = "sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"}, @@ -17,6 +18,7 @@ version = "3.11.11" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a60804bff28662cbcf340a4d61598891f12eea3a66af48ecfdc975ceec21e3c8"}, {file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4b4fa1cb5f270fb3eab079536b764ad740bb749ce69a94d4ec30ceee1b5940d5"}, @@ -114,6 +116,7 @@ version = "1.3.2" description = "aiosignal: a list of registered asynchronous callbacks" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"}, {file = "aiosignal-1.3.2.tar.gz", hash = "sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"}, @@ -128,6 +131,7 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -139,6 +143,7 @@ version = "0.42.0" description = "The official Python library for the anthropic API" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "anthropic-0.42.0-py3-none-any.whl", hash = "sha256:46775f65b723c078a2ac9e9de44a46db5c6a4fabeacfd165e5ea78e6817f4eff"}, {file = "anthropic-0.42.0.tar.gz", hash = "sha256:bf8b0ed8c8cb2c2118038f29c58099d2f99f7847296cafdaa853910bfff4edf4"}, @@ -163,6 +168,7 @@ version = "4.4.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"}, {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"}, @@ -183,6 +189,7 @@ version = "24.3.0" description = "Classes Without Boilerplate" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "attrs-24.3.0-py3-none-any.whl", hash = "sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"}, {file = "attrs-24.3.0.tar.gz", hash = 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Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7.0" +groups = ["main", "dev", "lint"] files = [ {file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:4f9fc98dad6c2eaa32fc3af1417d95b5e3d08aff968df0cd320066def971f9a6"}, {file = "charset_normalizer-3.4.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b"}, @@ -537,16 +661,49 @@ files = [ {file = "charset_normalizer-3.4.0.tar.gz", hash = "sha256:223217c3d4f82c3ac5e29032b3f1c2eb0fb591b72161f86d93f5719079dae93e"}, ] +[[package]] +name = "cleo" +version = "2.1.0" +description = "Cleo allows you to create beautiful and testable command-line interfaces." +optional = false +python-versions = ">=3.7,<4.0" +groups = ["dev", "lint"] +files = [ + {file = "cleo-2.1.0-py3-none-any.whl", hash = "sha256:4a31bd4dd45695a64ee3c4758f583f134267c2bc518d8ae9a29cf237d009b07e"}, + {file = 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"importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"] +type = ["pytest-mypy"] + [[package]] name = "zopfli" version = "0.2.3" description = "Zopfli module for python" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "zopfli-0.2.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:52438999888715a378fc6fe1477ab7813e9e9b58a27a38d2ad7be0e396b1ab2e"}, {file = "zopfli-0.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:6020a3533c6c7be09db9e59c2a8f3f894bf5d8e95cc01890d82114c923317c57"}, @@ -2972,6 +4088,6 @@ files = [ test = ["pytest"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = "^3.11" -content-hash = "5b98527b9d9b7b8245ceb5bec448289fd82958ccb2997ac7b7684c58ae4f36b9" +content-hash = "115cf985d932e9bf5f540555bbdd75decbb62cac81e399375fc19f6277f8c1d8" diff --git a/pyproject.toml b/pyproject.toml index 6f568e4..e4521e8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,6 +25,19 @@ pytest = "^8.3.4" pytest-asyncio = "^0.25.0" pytest-cov = "^6.0.0" mypy = "^1.14.0" +poetry-types = "^0.6.0" + +[tool.poetry.group.lint.dependencies] +black = "^23.7.0" +mypy = "^1.5.1" +ruff = "^0.0.286" +types-chardet = "^5.0.4.6" +poetry-types = "^0.6.0" + + +[tool.poetry.group.types.dependencies] +types-beautifulsoup4 = "^4.12.0.20241020" + [build-system] requires = ["poetry-core"] diff --git a/tests/test_db.py b/tests/test_db.py index 47f1353..8a9c41c 100644 --- a/tests/test_db.py +++ b/tests/test_db.py @@ -1,6 +1,5 @@ import pytest import sqlite3 -import json from yaart.db import JobDatabase from yaart.models import JobDescription, JobRequirements diff --git a/tests/test_llm.py b/tests/test_llm.py index 1dfaba8..d9cfa34 100644 --- a/tests/test_llm.py +++ b/tests/test_llm.py @@ -1,10 +1,7 @@ import pytest from unittest.mock import Mock, patch, MagicMock from yaart.llm import ResumeAssistant -from yaart.models import JobDescription, JobRequirements, TailoredResume -from langchain.schema import HumanMessage, AIMessage -from langchain_core.outputs import LLMResult -from langchain.schema.runnable import RunnableParallel +from yaart.models import JobDescription, JobRequirements from langchain.output_parsers import PydanticOutputParser import json @@ -139,7 +136,11 @@ def test_parse_jd_invalid_response(mock_llm): @patch('yaart.llm.PydanticOutputParser') @patch('yaart.llm.PromptTemplate') -def test_tailor_resume_success(mock_prompt, mock_parser, mock_llm, sample_job_description, sample_tailored_resume_dict): +def test_tailor_resume_success(mock_prompt, + mock_parser, + mock_llm, + sample_job_description, + sample_tailored_resume_dict): mock_tailored_resume = MagicMock() mock_tailored_resume.to_markdown.return_value = "# Tailored Resume" mock_tailored_resume.model_dump.return_value = sample_tailored_resume_dict diff --git a/tests/test_models.py b/tests/test_models.py index 5922b62..ea7716e 100644 --- a/tests/test_models.py +++ b/tests/test_models.py @@ -1,4 +1,3 @@ -import pytest from yaart.models import ( JobRequirements, JobDescription, diff --git a/tests/test_resume_optimizer.py b/tests/test_resume_optimizer.py index c1669f0..6c28477 100644 --- a/tests/test_resume_optimizer.py +++ b/tests/test_resume_optimizer.py @@ -1,7 +1,6 @@ import pytest from pathlib import Path -import json -from unittest.mock import Mock, patch, AsyncMock, MagicMock +from unittest.mock import patch, AsyncMock, MagicMock from yaart.optimizer import ResumeOptimizer from yaart.models import JobDescription, JobRequirements from yaart.scraper import JobScraper @@ -30,7 +29,7 @@ def mock_optimizer(): with patch('yaart.optimizer.ResumeAssistant') as mock_assistant, \ patch('yaart.optimizer.JobScraper') as mock_scraper, \ patch('yaart.optimizer.JobDatabase') as mock_db, \ - patch('yaart.optimizer.md2pdf') as mock_md2pdf: + patch('yaart.optimizer.md2pdf'): optimizer = ResumeOptimizer(api_key="test-key") optimizer.assistant = mock_assistant @@ -132,7 +131,8 @@ def test_generate_documents_pdf_error(mock_optimizer, tmp_path): markdown_dir.mkdir() pdf_dir.mkdir() - with patch('yaart.optimizer.md2pdf', side_effect=Exception("PDF generation failed")): + with patch('yaart.optimizer.md2pdf', + side_effect=Exception("PDF generation failed")): with pytest.raises(ValueError) as exc_info: mock_optimizer.generate_documents( "# Test Resume", @@ -143,7 +143,9 @@ def test_generate_documents_pdf_error(mock_optimizer, tmp_path): assert "Failed to generate PDF" in str(exc_info.value) @pytest.mark.asyncio -async def test_optimize_resume_tailor_error(mock_optimizer, mock_job_description, tmp_path): +async def test_optimize_resume_tailor_error(mock_optimizer, + mock_job_description, + tmp_path): base_resume = tmp_path / "base_resume.md" base_resume.write_text("# Test Resume") @@ -167,7 +169,8 @@ async def test_optimize_resume_tailor_error(mock_optimizer, mock_job_description @pytest.mark.asyncio async def test_get_job_description_from_scraper(mock_optimizer, mock_job_description): mock_optimizer.db.get_job_description.return_value = None - mock_optimizer.scraper.scrape_job_description = AsyncMock(return_value=mock_job_description) + mock_optimizer.scraper.scrape_job_description = AsyncMock( + return_value=mock_job_description) result = await mock_optimizer.get_job_description("https://example.com/job") @@ -193,7 +196,9 @@ def test_generate_documents(mock_optimizer, tmp_path): assert markdown_path.read_text() == "# Test Resume" @pytest.mark.asyncio -async def test_optimize_resume_with_new_jd(mock_optimizer, mock_job_description, tmp_path): +async def test_optimize_resume_with_new_jd(mock_optimizer, + mock_job_description, + tmp_path): base_resume = tmp_path / "base_resume.md" base_resume.write_text("# Test Resume") @@ -203,7 +208,8 @@ async def test_optimize_resume_with_new_jd(mock_optimizer, mock_job_description, (output_dir / "PDF").mkdir() mock_optimizer.db.get_job_description.side_effect = [None, mock_job_description] - mock_optimizer.scraper.scrape_job_description = AsyncMock(return_value=mock_job_description) + mock_optimizer.scraper.scrape_job_description = AsyncMock( + return_value=mock_job_description) mock_optimizer.assistant.tailor_resume.return_value = "# Tailored Resume" result = await mock_optimizer.optimize_resume( diff --git a/tests/test_scraper.py b/tests/test_scraper.py index cc291c7..ed16acf 100644 --- a/tests/test_scraper.py +++ b/tests/test_scraper.py @@ -87,7 +87,8 @@ async def test_scrape_job_description_html_parsing(mock_assistant): async def test_scrape_job_description_http_error(mock_assistant): # Setup mock client to raise HTTPError mock_client = AsyncMock() - mock_client.__aenter__.return_value.get.side_effect = httpx.HTTPError("Failed to fetch") + mock_client.__aenter__.return_value.get.side_effect = httpx.HTTPError( + "Failed to fetch") # Create scraper instance scraper = JobScraper(assistant=mock_assistant) diff --git a/yaart/llm.py b/yaart/llm.py index adc42c8..b5878fe 100644 --- a/yaart/llm.py +++ b/yaart/llm.py @@ -1,14 +1,16 @@ -from typing import Dict, Optional +from typing import Optional from langchain.output_parsers import PydanticOutputParser from langchain.prompts import PromptTemplate from langchain_openai import ChatOpenAI from langchain.base_language import BaseLanguageModel +from pydantic import SecretStr from yaart.models import JobDescription, TailoredResume from yaart.prompts import PARSE_JD_PROMPT, TAILOR_RESUME_PROMPT import json class ResumeAssistant: - def __init__(self, llm: Optional[BaseLanguageModel] = None, api_key: Optional[str] = None): + def __init__(self, llm: Optional[BaseLanguageModel] = None, + api_key: Optional[SecretStr] = None): if llm: self.llm = llm elif api_key: @@ -23,7 +25,9 @@ def parse_jd(self, text: str, url: str) -> JobDescription: prompt = PromptTemplate( template=PARSE_JD_PROMPT, input_variables=["text"], - partial_variables={"format_instructions": self.jd_parser.get_format_instructions()} + partial_variables={ + "format_instructions": self.jd_parser.get_format_instructions() + } ) try: @@ -38,12 +42,15 @@ def parse_jd(self, text: str, url: str) -> JobDescription: except Exception as e: raise ValueError(f"Failed to parse job description: {str(e)}") - def tailor_resume(self, resume_content: str, job_description: JobDescription) -> str: + def tailor_resume(self, resume_content: str, + job_description: JobDescription) -> str: """Tailor resume content to match job description""" prompt = PromptTemplate( template=TAILOR_RESUME_PROMPT, input_variables=["resume", "job_description"], - partial_variables={"format_instructions": self.resume_parser.get_format_instructions()} + partial_variables={ + "format_instructions": self.resume_parser.get_format_instructions() + } ) try: diff --git a/yaart/models.py b/yaart/models.py index a006ff1..4b23251 100644 --- a/yaart/models.py +++ b/yaart/models.py @@ -1,27 +1,26 @@ from typing import List, Optional, Dict from pydantic import BaseModel, Field + class JobRequirements(BaseModel): skills: List[str] = Field( - description="Required technical skills and competencies, including programming languages, tools, and technologies" + description="Required technical skills and competencies, including programming"\ + "languages, tools, and technologies" ) experience: List[str] = Field( - description="Required years and types of experience, including specific domains or roles" + description="Required years and types of experience, including specific " \ + "domains or roles" ) education: List[str] = Field( - description="Required education qualifications, including degrees, certifications, and specific fields of study" + description="Required education qualifications, including degrees," \ + " certifications, and specific fields of study" ) + class JobDescription(BaseModel): - url: str = Field( - description="URL of the job posting for reference" - ) - role: str = Field( - description="Job title/role as listed in the posting" - ) - company: str = Field( - description="Company name offering the position" - ) + url: str = Field(description="URL of the job posting for reference") + role: str = Field(description="Job title/role as listed in the posting") + company: str = Field(description="Company name offering the position") location: str = Field( description="Job location, including city, state, or remote status" ) @@ -29,11 +28,12 @@ class JobDescription(BaseModel): description="Key job responsibilities and duties listed in the posting" ) requirements: JobRequirements = Field( - description="Structured job requirements including skills, experience, and education" + description="Structured job requirements including skills, experience, and" \ + "education" ) salary: Optional[str] = Field( description="Salary information or range if provided in the posting", - default=None + default=None, ) benefits: List[str] = Field( description="Company benefits and perks offered with the position" @@ -42,37 +42,32 @@ class JobDescription(BaseModel): description="Additional relevant information about the role or company" ) + class Education(BaseModel): degree: str = Field( description="Full degree title including any concentration or specialization" ) - institution: str = Field( - description="Name of the educational institution" - ) + institution: str = Field(description="Name of the educational institution") dates: str = Field( description="Date range of attendance in MM/YYYY - MM/YYYY format" ) location: Optional[str] = Field( - description="Location of the institution (optional)", - default=None + description="Location of the institution (optional)", default=None ) + class Experience(BaseModel): - title: str = Field( - description="Job title or position held" - ) - company: str = Field( - description="Name of the company or organization" - ) + title: str = Field(description="Job title or position held") + company: str = Field(description="Name of the company or organization") company_description: Optional[str] = Field( - description="Brief description of the company, e.g., 'Fortune 500 Tech Company' or 'Leading AI Startup'", - default=None - ) - location: str = Field( - description="Location of the job (city, state or 'Remote')" + description="Brief description of the company, e.g., 'Fortune 500 Tech " \ + "Company' or 'Leading AI Startup'", + default=None, ) + location: str = Field(description="Location of the job (city, state or 'Remote')") dates: str = Field( - description="Employment duration in MM/YYYY - MM/YYYY format or 'Present' for current positions" + description="Employment duration in MM/YYYY - MM/YYYY format or 'Present' for "\ + "current positions" ) bullets: List[str] = Field( description="""List of accomplishments and responsibilities, where each bullet: @@ -83,61 +78,45 @@ class Experience(BaseModel): - Limited to 6 most relevant points""" ) + class Skill(BaseModel): category: str = Field( - description="Skill category/group name (e.g., 'Programming Languages', 'Cloud Technologies')" + description="Skill category/group name (e.g., 'Programming Languages', 'Cloud "\ + "Technologies')" ) skills: List[str] = Field( - description="List of specific skills within this category, prioritized based on job requirements" + description="List of specific skills within this category, prioritized based " \ + "on job requirements" ) + class Publication(BaseModel): - journal: str = Field( - description="Name of the journal or publication venue" - ) - title: str = Field( - description="Title of the published work" - ) - date: str = Field( - description="Publication date in 'Month YYYY' format" - ) + journal: str = Field(description="Name of the journal or publication venue") + title: str = Field(description="Title of the published work") + date: str = Field(description="Publication date in 'Month YYYY' format") + class OpenSourceProject(BaseModel): - name: str = Field( - description="Name of the open source project or repository" - ) + name: str = Field(description="Name of the open source project or repository") description: str = Field( description="Description of the project and your specific contributions" ) + class TailoredResume(BaseModel): - name: str = Field( - description="Full name as it should appear on the resume" - ) - title: str = Field( - description="Professional title aligned with the target role" - ) - location: str = Field( - description="Current location (City, State)" - ) - phone: str = Field( - description="Contact phone number in format: ##########" - ) - email: str = Field( - description="Professional email address" - ) - github: str = Field( - description="GitHub profile URL or username" - ) - linkedin: str = Field( - description="LinkedIn profile URL or username" - ) + name: str = Field(description="Full name as it should appear on the resume") + title: str = Field(description="Professional title aligned with the target role") + location: str = Field(description="Current location (City, State)") + phone: str = Field(description="Contact phone number in format: ##########") + email: str = Field(description="Professional email address") + github: str = Field(description="GitHub profile URL or username") + linkedin: str = Field(description="LinkedIn profile URL or username") summary: str = Field( description="""Professional summary that follows this template: '[Title] with [N-years] of experience in [industry if relevant]. - Career highlights include: [2-3 major achievements relevant to job requirements]. - I would like to leverage my experience in [key skills] to [outcome the role is looking for] - at [company name and its goal/product type]'""" + Career highlights include: [2-3 major achievements relevant to job requirements] + I would like to leverage my experience in [key skills] to [outcome the role is + looking for] at [company name and its goal/product type]'""" ) education: List[Education] = Field( description="List of educational qualifications in reverse chronological order" @@ -158,27 +137,25 @@ class TailoredResume(BaseModel): - Company descriptions provide context about company size/type""" ) publications: Optional[List[Publication]] = Field( - description="Optional list of relevant publications", - default=None + description="Optional list of relevant publications", default=None ) open_source: Optional[List[OpenSourceProject]] = Field( - description="Optional list of relevant open source contributions", - default=None + description="Optional list of relevant open source contributions", default=None ) def to_markdown(self) -> str: """Convert the resume to markdown format""" - md = f'''

{self.name}

+ md = f"""

{self.name}

{self.title}

-

{self.location} | {self.phone} | {self.email} | {self.github} | {self.linkedin}

+

{self.location} | {self.phone} | {self.email} | {self.github} | {self.linkedin}

## Summary {self.summary} ## Education -''' +""" # noqa: E501 # Education section for edu in self.education: md += f"**{edu.degree}** \n_{edu.institution} | {edu.dates}_\n\n" @@ -191,7 +168,9 @@ def to_markdown(self) -> str: # Experience section md += "## Professional Experience\n" for exp in self.experience: - company_desc = f" _{exp.company_description} |" if exp.company_description else "" + company_desc = ( + f" _{exp.company_description} |" if exp.company_description else "" + ) md += f"**{exp.title}** \n" md += f"**{exp.company}**{company_desc} {exp.location} | {exp.dates}_\n\n" for bullet in exp.bullets: @@ -210,4 +189,4 @@ def to_markdown(self) -> str: for project in self.open_source: md += f"**{project.name}:** {project.description}\n\n" - return md.strip() \ No newline at end of file + return md.strip() diff --git a/yaart/optimizer.py b/yaart/optimizer.py index bec004d..e23013e 100644 --- a/yaart/optimizer.py +++ b/yaart/optimizer.py @@ -1,14 +1,16 @@ from pathlib import Path from typing import Optional, Dict, Tuple -from md2pdf.core import md2pdf +from md2pdf.core import md2pdf # type: ignore from yaart.llm import ResumeAssistant from yaart.scraper import JobScraper from yaart.db import JobDatabase from yaart.models import JobDescription from langchain.base_language import BaseLanguageModel +from pydantic import SecretStr class ResumeOptimizer: - def __init__(self, llm: Optional[BaseLanguageModel] = None, api_key: Optional[str] = None): + def __init__(self, llm: Optional[BaseLanguageModel] = None, + api_key: Optional[SecretStr] = None): self.assistant = ResumeAssistant(llm=llm, api_key=api_key) self.scraper = JobScraper(assistant=self.assistant) self.db = JobDatabase() @@ -46,7 +48,7 @@ async def get_job_description( return job_description # Try database first - job_description = self.db.get_job_description(jd_url) + job_description = self.db.get_job_description(jd_url) # type: ignore if job_description is not None: return job_description diff --git a/yaart/prompts.py b/yaart/prompts.py index 0c54356..c69331c 100644 --- a/yaart/prompts.py +++ b/yaart/prompts.py @@ -22,7 +22,7 @@ Follow these specific guidelines: 1. Summary Section: - - Modify the summary to follow this template: "[Title] with [N-years] of experience in [industry if relevant]. Some career highlights include: [Projects/accomplishments relevant to JD's responsibilities]. I would like to leverage my experience to [outcome the role is looking for] at [company name and its goal/product type]" + - Modify the summary to follow this template: "[Title] with [N-years] of experience in [industry if relevant]. Some career highlights include: [Projects/accomplishments relevant to JD's responsibilities]. I would like to leverage my experience to [outcome the role is looking for] at [company name and its goal/product type]" - Explicitly mention the company name in a meaningful way - Focus on achievements that directly relate to the job requirements - Highlight the most relevant technical skills from your experience @@ -75,4 +75,4 @@ - Demonstrate impact and results Return the tailored resume information in the specified JSON structure. -""" \ No newline at end of file +""" # noqa: E501 \ No newline at end of file diff --git a/yaart/scraper.py b/yaart/scraper.py index 30c01a8..7243862 100644 --- a/yaart/scraper.py +++ b/yaart/scraper.py @@ -1,5 +1,4 @@ import httpx -import asyncio from typing import Optional from bs4 import BeautifulSoup from yaart.models import JobDescription @@ -9,13 +8,15 @@ class JobScraper: def __init__(self, assistant: Optional[ResumeAssistant] = None): self.assistant = assistant or ResumeAssistant() self.headers = { - 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36' + 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)' \ + 'AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36' } async def scrape_job_description(self, url: str) -> JobDescription: """Scrape and parse job description from URL""" try: - async with httpx.AsyncClient(headers=self.headers, follow_redirects=True) as client: + async with httpx.AsyncClient( + headers=self.headers, follow_redirects=True) as client: response = await client.get(url) await response.aread() @@ -31,7 +32,7 @@ async def scrape_job_description(self, url: str) -> JobDescription: # Clean up whitespace lines = (line.strip() for line in text.splitlines()) - chunks = (phrase.strip() for line in lines for phrase in line.split(" ")) + chunks = (phrase.strip() for line in lines for phrase in line.split(" ")) # noqa: E501 text = ' '.join(chunk for chunk in chunks if chunk) return self.assistant.parse_jd(text, url)