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n-ou commited on Jun 4, 2025

Commit

146e133

1 Parent(s): 392d774

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Browse files

Files changed (10) hide show

data/context.json +0 -0
pyproject.toml +6 -0
server/candidate_profile.py +19 -17
server/correlation_analysis.py +3 -3
server/document_creation.py +1 -0
server/home.py +3 -3
server/interview_scheduler.py +2 -2
server/job_creation.py +1 -0
server/plot_generation.py +1 -1
uv.lock +280 -0

data/context.json CHANGED Viewed

The diff for this file is too large to render. See raw diff

pyproject.toml CHANGED Viewed

@@ -4,24 +4,29 @@ version = "0.1.0"
 requires-python = ">=3.12"
 dependencies = [
     "anthropic>=0.52.2",
     "fitz>=0.0.1.dev2",
     "fpdf>=1.7.2",
     "frontend>=0.0.3",
     "google>=3.0.0",
     "google-generativeai>=0.8.5",
     "ipywidgets>=8.1.7",
     "langchain>=0.3.25",
     "langchain-anthropic>=0.3.14",
     "langchain-community>=0.3.24",
     "langchain-google-genai>=2.0.10",
     "langchain-openai>=0.3.19",
     "markdown>=3.8",
     "numpy>=2.2.6",
     "openai>=1.83.0",
     "orjson>=3.10.18",
     "plotly>=6.1.2",
     "pydantic>=2.11.5",
     "pydantic-ai>=0.2.12",
     "pypdf2>=3.0.1",
     "pyrsm>=1.6.0",
     "python-dotenv>=1.1.0",
@@ -30,4 +35,5 @@ dependencies = [
     "simplejson>=3.20.1",
     "tools>=1.0.2",
     "uuid>=1.30",
 ]

 requires-python = ">=3.12"
 dependencies = [
     "anthropic>=0.52.2",
+    "faker>=37.3.0",
     "fitz>=0.0.1.dev2",
     "fpdf>=1.7.2",
     "frontend>=0.0.3",
     "google>=3.0.0",
     "google-generativeai>=0.8.5",
     "ipywidgets>=8.1.7",
+    "jinja2>=3.1.6",
     "langchain>=0.3.25",
     "langchain-anthropic>=0.3.14",
     "langchain-community>=0.3.24",
     "langchain-google-genai>=2.0.10",
     "langchain-openai>=0.3.19",
     "markdown>=3.8",
+    "markdown2>=2.5.3",
     "numpy>=2.2.6",
     "openai>=1.83.0",
     "orjson>=3.10.18",
+    "pdfkit>=1.0.0",
     "plotly>=6.1.2",
     "pydantic>=2.11.5",
     "pydantic-ai>=0.2.12",
+    "pymupdf>=1.26.0",
     "pypdf2>=3.0.1",
     "pyrsm>=1.6.0",
     "python-dotenv>=1.1.0",
     "simplejson>=3.20.1",
     "tools>=1.0.2",
     "uuid>=1.30",
+    "weasyprint>=65.1",
 ]

server/candidate_profile.py CHANGED Viewed

@@ -9,7 +9,7 @@ import html
 import markdown
-RESUME_DIR = "../data/resumes"
 def extract_text_from_pdf(filename):
     path = os.path.join(RESUME_DIR, filename) + '.pdf'
@@ -144,7 +144,7 @@ def server(input, output, session):
         filtered = {
             cid: f"{v.get('Name', cid)} ({v.get('Resume File', 'N/A')})"
             for cid, v in candidates.items()
-            if v.get("job_id") == job_id and v.get("Resume File")
         }
         print(f"✅ Found {len(filtered)} candidates for job {job_id}")
@@ -161,13 +161,15 @@ def server(input, output, session):
     @render.ui
     def summary():
         input.show_gemini()             # ✅ force reactive trigger
-        input.job_dropdown_doc()
-        input.candidate_dropdown_doc()
-        filename = input.candidate_dropdown_doc()
-        job_id = input.job_dropdown_doc()  # 🔧 ADD THIS LINE
         use_gemini = input.show_gemini()
         if not filename or not job_id:
             return "Please select both resume and job ID."
@@ -267,8 +269,8 @@ def server(input, output, session):
     @output
     @render.ui
     def score():
-        filename = input.candidate_dropdown_doc()
-        job_id = input.job_dropdown_doc()
         if not filename or not job_id:
             return ui.HTML("<p style='color: #888;'>Select a resume and job to view score.</p>")
@@ -276,7 +278,7 @@ def server(input, output, session):
         candidate_id = os.path.splitext(filename)[0]
         ctx = get_candidate_context(candidate_id)
-        if ctx.get("job_id") == job_id and "avg_score" in ctx:
             score = ctx["avg_score"]
             # Choose a color based on the score
@@ -309,8 +311,8 @@ def server(input, output, session):
     @output
     @render.text
     def candidate_note_ui():
-        filename = input.candidate_dropdown_doc()
-        job_id = input.job_dropdown_doc()
         if not filename or not job_id:
             return ui.input_text_area("candidate_note", "Add a note:", rows=3)
@@ -322,8 +324,8 @@ def server(input, output, session):
     @output
     @render.ui
     def candidate_tags_ui():
-        filename = input.candidate_dropdown_doc()
-        job_id = input.job_dropdown_doc()
         if not filename or not job_id:
             return ui.input_text("candidate_tags", "Tags (comma-separated):")
@@ -336,8 +338,8 @@ def server(input, output, session):
     @output
     @render.text
     def note_preview():
-        filename = input.candidate_dropdown_doc()
-        job_id = input.job_dropdown_doc()
         if not filename or not job_id:
             return ""
@@ -355,8 +357,8 @@ def server(input, output, session):
     @render.text
     @reactive.event(input.save_note_tags)
     def note_tag_status():
-        filename = input.candidate_dropdown_doc()
-        job_id = input.job_dropdown_doc()
         if not filename or not job_id:
             return "❌ Please select both a resume and a job ID."

 import markdown
+RESUME_DIR = "data/resumes/"
 def extract_text_from_pdf(filename):
     path = os.path.join(RESUME_DIR, filename) + '.pdf'
         filtered = {
             cid: f"{v.get('Name', cid)} ({v.get('Resume File', 'N/A')})"
             for cid, v in candidates.items()
+            if str(v.get("job_id")) == str(job_id) and v.get("Resume File")
         }
         print(f"✅ Found {len(filtered)} candidates for job {job_id}")
     @render.ui
     def summary():
         input.show_gemini()             # ✅ force reactive trigger
+        input.job_dropdown_for_doc()
+        input.candidate_dropdown_for_doc()
+        filename = input.candidate_dropdown_for_doc()
+        job_id = input.job_dropdown_for_doc()  # 🔧 ADD THIS LINE
         use_gemini = input.show_gemini()
+        print(filename)
         if not filename or not job_id:
             return "Please select both resume and job ID."
     @output
     @render.ui
     def score():
+        filename = input.candidate_dropdown_for_doc()
+        job_id = input.job_dropdown_for_doc()
         if not filename or not job_id:
             return ui.HTML("<p style='color: #888;'>Select a resume and job to view score.</p>")
         candidate_id = os.path.splitext(filename)[0]
         ctx = get_candidate_context(candidate_id)
+        if ctx.get("job_id") == str(job_id) and "avg_score" in ctx:
             score = ctx["avg_score"]
             # Choose a color based on the score
     @output
     @render.text
     def candidate_note_ui():
+        filename = input.candidate_dropdown_for_doc()
+        job_id = input.job_dropdown_for_doc()
         if not filename or not job_id:
             return ui.input_text_area("candidate_note", "Add a note:", rows=3)
     @output
     @render.ui
     def candidate_tags_ui():
+        filename = input.candidate_dropdown_for_doc()
+        job_id = input.job_dropdown_for_doc()
         if not filename or not job_id:
             return ui.input_text("candidate_tags", "Tags (comma-separated):")
     @output
     @render.text
     def note_preview():
+        filename = input.candidate_dropdown_for_doc()
+        job_id = input.job_dropdown_for_doc()
         if not filename or not job_id:
             return ""
     @render.text
     @reactive.event(input.save_note_tags)
     def note_tag_status():
+        filename = input.candidate_dropdown_for_doc()
+        job_id = input.job_dropdown_for_doc()
         if not filename or not job_id:
             return "❌ Please select both a resume and a job ID."

server/correlation_analysis.py CHANGED Viewed

@@ -80,9 +80,9 @@ def server(input, output, session):
         if not job_id:
             return pd.DataFrame()
         df = pd.DataFrame([c for c in raw.values() if c.get("job_id") == job_id])
-        df["Years of Experience"] = pd.to_numeric(df["Years of Experience"], errors="coerce")
-        df["avg_score"] = pd.to_numeric(df["avg_score"], errors="coerce")
-        df["Key Skills"] = df["Key Skills"].apply(lambda x: ast.literal_eval(x) if isinstance(x, str) else x)
         return df
     @reactive.effect

         if not job_id:
             return pd.DataFrame()
         df = pd.DataFrame([c for c in raw.values() if c.get("job_id") == job_id])
+        #df["Years of Experience"] = pd.to_numeric(df["Years of Experience"], errors="coerce")
+        #df["avg_score"] = pd.to_numeric(df["avg_score"], errors="coerce")
+        #df["Key Skills"] = df["Key Skills"].apply(lambda x: ast.literal_eval(x) if isinstance(x, str) else x)
         return df
     @reactive.effect

server/document_creation.py CHANGED Viewed

@@ -64,6 +64,7 @@ def generate_full_contract(candidate_name, job_title, compensation, start_date,
 def server(input, output, session):
     # === Update job dropdown from context ===
     @reactive.effect
     def _populate_job_dropdown():

 def server(input, output, session):
+    print("✅ Entered document generation server()")
     # === Update job dropdown from context ===
     @reactive.effect
     def _populate_job_dropdown():

server/home.py CHANGED Viewed

@@ -15,11 +15,11 @@ from context import (
 init_context()
-UPLOAD_DIR = Path(os.path.join("..", "data"))
 UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
 def server(input, output, session):
     @output
     @render.text
     @reactive.event(input.upload_resume_btn)
@@ -58,7 +58,7 @@ def server(input, output, session):
         all_jobs = get_all_jobs()
         chart_choices = {
-            job_id: f"{job_data.get('title', 'Untitled')} ({job_id[:8]})"
             for job_id, job_data in all_jobs.items()
         }

 init_context()
+UPLOAD_DIR = Path(__file__).resolve().parents[1] / "data" / "resumes"
 UPLOAD_DIR.mkdir(parents=True, exist_ok=True)
 def server(input, output, session):
+    print("✅ Entered homepage server()")
     @output
     @render.text
     @reactive.event(input.upload_resume_btn)
         all_jobs = get_all_jobs()
         chart_choices = {
+            job_id: f"{job_data.get('title', 'Untitled')} ({str(job_id)[:8]})"
             for job_id, job_data in all_jobs.items()
         }

server/interview_scheduler.py CHANGED Viewed

@@ -85,7 +85,7 @@ def export_email_as_pdf(name, email_text):
 # === MAIN SHINY SERVER FUNCTION ===
 def server(input, output, session):
-    print("✅ Entered server()")
     if not hasattr(session, "_memo"):
         session._memo = {}  # 🛠 manually initialize in-memory store
@@ -95,7 +95,7 @@ def server(input, output, session):
         raw_candidates = get_all_candidates()
         job_ids_used = {c.get("job_id") for c in raw_candidates.values() if "job_id" in c}
-        path = "../data/context.json"
         try:
             with open(path, "r") as f:
                 full = json.load(f)

 # === MAIN SHINY SERVER FUNCTION ===
 def server(input, output, session):
+    print("✅ Entered interview scheduler server()")
     if not hasattr(session, "_memo"):
         session._memo = {}  # 🛠 manually initialize in-memory store
         raw_candidates = get_all_candidates()
         job_ids_used = {c.get("job_id") for c in raw_candidates.values() if "job_id" in c}
+        path = "data/context.json"
         try:
             with open(path, "r") as f:
                 full = json.load(f)

server/job_creation.py CHANGED Viewed

@@ -64,6 +64,7 @@ Job Description:
 def server(input, output, session):
     session_id = str(uuid.uuid4())
     chat_status = reactive.Value("")
     save_status = reactive.Value("")

 def server(input, output, session):
+    print("✅ Entered job post creation server()")
     session_id = str(uuid.uuid4())
     chat_status = reactive.Value("")
     save_status = reactive.Value("")

server/plot_generation.py CHANGED Viewed

@@ -86,7 +86,7 @@ model = genai.GenerativeModel("gemini-2.0-flash", tools=[plot_tool])
 # === MAIN SHINY SERVER FUNCTION ===
 def server(input, output, session):
-    print("✅ Entered server()")
     last_cols = reactive.Value(('', ''))
     last_type = reactive.Value('')

 # === MAIN SHINY SERVER FUNCTION ===
 def server(input, output, session):
+    print("✅ Entered plot generation server()")
     last_cols = reactive.Value(('', ''))
     last_type = reactive.Value('')

uv.lock CHANGED Viewed

@@ -257,6 +257,61 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/bc/0f/7090e2b6cef7c7f8d8c92a98ccfdb3800f2de90e553df7fb9c63c9e882d0/botocore-1.38.28-py3-none-any.whl", hash = "sha256:515e1a535a27f17e1381aec1fb48eaa2c2308258c4db0bfd09e4f1cd1f239c44", size = 13586155 },
 ]
 [[package]]
 name = "cachetools"
 version = "5.5.2"
@@ -464,6 +519,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b0/e6/6000d0094e8a5e32ad62591c8609e269febb6e4db83a1c75ff8868b42731/contourpy-1.3.2-cp313-cp313t-win_amd64.whl", hash = "sha256:78e9253c3de756b3f6a5174d024c4835acd59eb3f8e2ca13e775dbffe1558f69", size = 238214 },
 ]
 [[package]]
 name = "cycler"
 version = "0.12.1"
@@ -598,6 +666,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/65/3c/1db1b0f878319bb227f35a0fca7cad64e1f528b518bcab1a708da305c86d/faicons-0.2.2-py3-none-any.whl", hash = "sha256:d45d7c2635b53582a3375c67d7e975a28a91d2c16ef5f6b5033b5cdd507224b6", size = 607225 },
 ]
 [[package]]
 name = "fasta2a"
 version = "0.2.12"
@@ -699,6 +779,13 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/21/ff/995277586691c0cc314c28b24b4ec30610440fd7bf580072aed1409f95b0/fonttools-4.58.1-py3-none-any.whl", hash = "sha256:db88365d0962cd6f5bce54b190a4669aeed9c9941aa7bd60a5af084d8d9173d6", size = 1113429 },
 ]
 [[package]]
 name = "fpdf"
 version = "1.7.2"
@@ -998,24 +1085,29 @@ version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
     { name = "anthropic" },
     { name = "fitz" },
     { name = "fpdf" },
     { name = "frontend" },
     { name = "google" },
     { name = "google-generativeai" },
     { name = "ipywidgets" },
     { name = "langchain" },
     { name = "langchain-anthropic" },
     { name = "langchain-community" },
     { name = "langchain-google-genai" },
     { name = "langchain-openai" },
     { name = "markdown" },
     { name = "numpy" },
     { name = "openai" },
     { name = "orjson" },
     { name = "plotly" },
     { name = "pydantic" },
     { name = "pydantic-ai" },
     { name = "pypdf2" },
     { name = "pyrsm" },
     { name = "python-dotenv" },
@@ -1024,29 +1116,35 @@ dependencies = [
     { name = "simplejson" },
     { name = "tools" },
     { name = "uuid" },
 ]
 [package.metadata]
 requires-dist = [
     { name = "anthropic", specifier = ">=0.52.2" },
     { name = "fitz", specifier = ">=0.0.1.dev2" },
     { name = "fpdf", specifier = ">=1.7.2" },
     { name = "frontend", specifier = ">=0.0.3" },
     { name = "google", specifier = ">=3.0.0" },
     { name = "google-generativeai", specifier = ">=0.8.5" },
     { name = "ipywidgets", specifier = ">=8.1.7" },
     { name = "langchain", specifier = ">=0.3.25" },
     { name = "langchain-anthropic", specifier = ">=0.3.14" },
     { name = "langchain-community", specifier = ">=0.3.24" },
     { name = "langchain-google-genai", specifier = ">=2.0.10" },
     { name = "langchain-openai", specifier = ">=0.3.19" },
     { name = "markdown", specifier = ">=3.8" },
     { name = "numpy", specifier = ">=2.2.6" },
     { name = "openai", specifier = ">=1.83.0" },
     { name = "orjson", specifier = ">=3.10.18" },
     { name = "plotly", specifier = ">=6.1.2" },
     { name = "pydantic", specifier = ">=2.11.5" },
     { name = "pydantic-ai", specifier = ">=0.2.12" },
     { name = "pypdf2", specifier = ">=3.0.1" },
     { name = "pyrsm", specifier = ">=1.6.0" },
     { name = "python-dotenv", specifier = ">=1.1.0" },
@@ -1055,6 +1153,7 @@ requires-dist = [
     { name = "simplejson", specifier = ">=3.20.1" },
     { name = "tools", specifier = ">=1.0.2" },
     { name = "uuid", specifier = ">=1.30" },
 ]
 [[package]]
@@ -1331,6 +1430,18 @@ wheels = [
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 [[package]]
 name = "jiter"
 version = "0.10.0"
@@ -1733,6 +1844,53 @@ wheels = [
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 [[package]]
 name = "marshmallow"
 version = "3.26.1"
@@ -2188,6 +2346,15 @@ wheels = [
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 [[package]]
 name = "pexpect"
 version = "4.9.0"
@@ -2680,6 +2847,15 @@ wheels = [
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 [[package]]
 name = "pygments"
 version = "2.19.1"
@@ -2689,6 +2865,21 @@ wheels = [
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 ]
 [[package]]
 name = "pyparsing"
 version = "3.2.3"
@@ -2707,6 +2898,15 @@ wheels = [
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 [[package]]
 name = "pyrsm"
 version = "1.6.0"
@@ -3350,6 +3550,30 @@ wheels = [
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 [[package]]
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@@ -3594,6 +3818,34 @@ wheels = [
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 [[package]]
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@@ -3770,6 +4022,34 @@ wheels = [
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 [[package]]
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     { url = "https://files.pythonhosted.org/packages/bc/0f/7090e2b6cef7c7f8d8c92a98ccfdb3800f2de90e553df7fb9c63c9e882d0/botocore-1.38.28-py3-none-any.whl", hash = "sha256:515e1a535a27f17e1381aec1fb48eaa2c2308258c4db0bfd09e4f1cd1f239c44", size = 13586155 },
 ]
+[[package]]
+name = "brotli"
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