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from openpyxl import Workbook
from openpyxl.styles import (
Font, PatternFill, Alignment, Border, Side, GradientFill
)
from openpyxl.utils import get_column_letter
from openpyxl.formatting.rule import ColorScaleRule, DataBarRule
from openpyxl.worksheet.hyperlink import Hyperlink
from colorama import Fore, Style
SCORE_COLORS = {
(8, 10): ("1A7A1A", "E8F8E8"), # Green - dark text, light bg
(6, 7): ("7A5A00", "FFF8E0"), # Amber
(4, 5): ("7A3A00", "FFF0E0"), # Orange
(0, 3): ("7A1A1A", "FFF0F0"), # Red
}
PRIORITY_COLORS = {
"High": "C6EFCE",
"Medium": "FFEB9C",
"Low": "FFCCCC",
}
HEADERS = [
("Rank", 5),
("Job Title", 28),
("Company", 20),
("Location", 18),
("Platform", 12),
("Salary Range", 18),
("Experience Required", 18),
("Posted Date", 14),
("Relevance Score", 16),
("ATS Before (%)", 14),
("ATS After (%)", 14),
("ATS Improvement", 14),
("Skills Match %", 14),
("Experience Match", 18),
("Application Priority", 18),
("Matching Skills", 35),
("Missing Skills", 30),
("Key Strengths", 30),
("Recommendation", 45),
("ATS Keywords", 35),
("Resume Generated", 16),
("Resume Path", 40),
("Job URL", 50),
("Application Status", 20),
("Notes", 30),
]
class ExcelReporter:
def __init__(self, output_path: str):
self.output_path = output_path
os.makedirs(os.path.dirname(output_path), exist_ok=True)
def generate(self, assessed_jobs: list[dict]) -> str:
print(f"\n{Fore.CYAN}Generating Excel report...{Style.RESET_ALL}")
wb = Workbook()
self._create_summary_sheet(wb, assessed_jobs)
self._create_all_jobs_sheet(wb, assessed_jobs)
self._create_top_matches_sheet(wb, assessed_jobs)
self._create_tracker_sheet(wb, assessed_jobs)
wb.save(self.output_path)
print(f"{Fore.GREEN}Report saved: {self.output_path}{Style.RESET_ALL}")
# Also emit a flat CSV next to the workbook for easy import / persistence.
try:
self.csv_path = self._write_csv(assessed_jobs)
print(f"{Fore.GREEN}CSV saved: {self.csv_path}{Style.RESET_ALL}")
except Exception as e:
self.csv_path = ""
print(f"{Fore.YELLOW}CSV export skipped: {e}{Style.RESET_ALL}")
return self.output_path
def _write_csv(self, jobs: list[dict]) -> str:
"""Write a flat one-row-per-job CSV alongside the Excel report."""
import csv
csv_path = os.path.splitext(self.output_path)[0] + ".csv"
columns = [
("rank", "Rank"),
("title", "Job Title"),
("company", "Company"),
("location", "Location"),
("platform", "Platform"),
("salary", "Salary"),
("relevance_score", "Relevance Score"),
("application_priority", "Application Priority"),
("ats_score_before", "ATS Before (%)"),
("ats_score_after", "ATS After (%)"),
("ats_improvement", "ATS Improvement"),
("independent_jd_match", "Independent Score"),
("status", "Status"),
("resume_generated", "Resume Generated"),
("matching_skills", "Matching Skills"),
("missing_skills", "Missing Skills"),
("ats_keywords", "ATS Keywords"),
("recommendation", "Recommendation"),
("resume_path", "Resume Path"),
("resume_pdf_path", "Resume PDF Path"),
("url", "Job URL"),
]
def _cell(v):
if isinstance(v, (list, tuple)):
return ", ".join(str(x) for x in v)
if isinstance(v, dict):
return "; ".join(f"{k}={val}" for k, val in v.items())
return "" if v is None else str(v)
with open(csv_path, "w", encoding="utf-8-sig", newline="") as f:
w = csv.writer(f)
w.writerow([h for _, h in columns])
for i, job in enumerate(jobs, 1):
row = []
for key, _ in columns:
row.append(str(i) if key == "rank" else _cell(job.get(key, "")))
w.writerow(row)
return csv_path
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# SHEET 1: SUMMARY DASHBOARD
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _create_summary_sheet(self, wb: Workbook, jobs: list[dict]):
ws = wb.active
ws.title = "π Summary"
ws.sheet_view.showGridLines = False
total = len(jobs)
high = sum(1 for j in jobs if j.get("relevance_score", 0) >= 8)
medium = sum(1 for j in jobs if 6 <= j.get("relevance_score", 0) <= 7)
low = sum(1 for j in jobs if j.get("relevance_score", 0) < 6)
avg_score = sum(j.get("relevance_score", 0) for j in jobs) / total if total else 0
resumes_gen = sum(1 for j in jobs if j.get("resume_generated") == "Yes")
# Title
ws.merge_cells("B2:F2")
ws["B2"] = "JOB SEARCH RESULTS β DASHBOARD"
ws["B2"].font = Font(name="Calibri", size=18, bold=True, color="1648BE")
ws["B2"].alignment = Alignment(horizontal="center")
stats = [
("Total Jobs Found", total, "4472C4", "FFFFFF"),
("High Priority (8-10)", high, "70AD47", "FFFFFF"),
("Good Match (6-7)", medium, "ED7D31", "FFFFFF"),
("Lower Priority (<6)", low, "FF0000", "FFFFFF"),
("Avg Relevance Score", f"{avg_score:.1f}/10", "7030A0", "FFFFFF"),
("Resumes Generated", resumes_gen, "1648BE", "FFFFFF"),
]
row = 4
for label, value, bg, fg in stats:
ws.merge_cells(f"B{row}:C{row}")
ws[f"B{row}"] = label
ws[f"B{row}"].font = Font(name="Calibri", size=11, bold=True, color=fg)
ws[f"B{row}"].fill = PatternFill("solid", fgColor=bg)
ws[f"B{row}"].alignment = Alignment(horizontal="left", indent=1)
ws[f"D{row}"] = value
ws[f"D{row}"].font = Font(name="Calibri", size=14, bold=True, color=bg)
ws[f"D{row}"].alignment = Alignment(horizontal="center")
row += 1
# Platform breakdown
row += 1
ws[f"B{row}"] = "Jobs by Platform"
ws[f"B{row}"].font = Font(name="Calibri", size=12, bold=True, color="1648BE")
row += 1
from collections import Counter
platform_counts = Counter(j.get("platform", "Unknown") for j in jobs)
for platform, count in platform_counts.most_common():
ws[f"B{row}"] = platform
ws[f"C{row}"] = count
ws[f"B{row}"].font = Font(name="Calibri", size=11)
ws[f"C{row}"].font = Font(name="Calibri", size=11, bold=True)
row += 1
# Column widths
ws.column_dimensions["B"].width = 28
ws.column_dimensions["C"].width = 20
ws.column_dimensions["D"].width = 15
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# SHEET 2: ALL JOBS
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _create_all_jobs_sheet(self, wb: Workbook, jobs: list[dict]):
ws = wb.create_sheet("π All Jobs")
self._write_jobs_sheet(ws, jobs, "ALL JOBS β RANKED BY RELEVANCE SCORE")
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# SHEET 3: TOP MATCHES (score >= 6)
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _create_top_matches_sheet(self, wb: Workbook, jobs: list[dict]):
top = [j for j in jobs if j.get("relevance_score", 0) >= 6]
ws = wb.create_sheet("β Top Matches")
self._write_jobs_sheet(ws, top, f"TOP MATCHES (Score β₯ 6) β {len(top)} Jobs")
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# SHEET 4: APPLICATION TRACKER
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _create_tracker_sheet(self, wb: Workbook, jobs: list[dict]):
ws = wb.create_sheet("β
Application Tracker")
ws.sheet_view.showGridLines = False
tracker_headers = [
("Rank", 6), ("Job Title", 28), ("Company", 20), ("Platform", 12),
("Score", 8), ("Priority", 12), ("Applied Date", 14), ("Status", 20),
("HR Contact", 22), ("Interview Date", 15), ("Offer/Feedback", 30), ("Job URL", 50),
]
# Header row
self._write_header_row(ws, tracker_headers, row=1)
top = [j for j in jobs if j.get("relevance_score", 0) >= 6]
status_options = ["Not Applied", "Applied", "Shortlisted", "Interview Scheduled",
"Offer Received", "Rejected", "On Hold"]
for idx, job in enumerate(top, 1):
r = idx + 1
score = job.get("relevance_score", 0)
color = self._score_row_color(score)
cells = [
idx,
job.get("title", ""),
job.get("company", ""),
job.get("platform", ""),
score,
job.get("application_priority", ""),
"", # Applied Date (to be filled)
"Not Applied",
"", # HR Contact
"", # Interview Date
"", # Offer/Feedback
job.get("url", ""),
]
for col, value in enumerate(cells, 1):
cell = ws.cell(row=r, column=col, value=value)
cell.fill = PatternFill("solid", fgColor=color)
cell.font = Font(name="Calibri", size=10)
cell.alignment = Alignment(wrap_text=True, vertical="top")
if col == len(cells) and value: # URL column
cell.hyperlink = value
cell.font = Font(name="Calibri", size=10, color="0563C1", underline="single")
cell.value = "Open Job"
for col_idx, (_, width) in enumerate(tracker_headers, 1):
ws.column_dimensions[get_column_letter(col_idx)].width = width
ws.row_dimensions[1].height = 30
ws.freeze_panes = "A2"
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
# SHARED HELPERS
# ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
def _write_jobs_sheet(self, ws, jobs: list[dict], title: str):
ws.sheet_view.showGridLines = False
# Title row
ws.merge_cells(f"A1:{get_column_letter(len(HEADERS))}1")
ws["A1"] = title
ws["A1"].font = Font(name="Calibri", size=14, bold=True, color="FFFFFF")
ws["A1"].fill = PatternFill("solid", fgColor="1648BE")
ws["A1"].alignment = Alignment(horizontal="center")
ws.row_dimensions[1].height = 28
# Header row
self._write_header_row(ws, HEADERS, row=2)
for idx, job in enumerate(jobs, 1):
r = idx + 2
score = job.get("relevance_score", 0)
row_color = self._score_row_color(score)
def _pct(val):
if val is None or val == "":
return "β"
return f"{int(val)}%"
ats_b = job.get("ats_score_before")
ats_a = job.get("ats_score_after")
improv = job.get("ats_improvement", 0) or 0
improv_str = f"+{improv}pp" if improv > 0 else ("β" if improv == 0 else f"{improv}pp")
values = [
idx, # col 1 Rank
job.get("title", ""), # col 2 Job Title
job.get("company", ""), # col 3 Company
job.get("location", ""), # col 4 Location
job.get("platform", ""), # col 5 Platform
job.get("salary", "Not specified"), # col 6 Salary Range
job.get("experience_required", ""), # col 7 Experience Required
job.get("posted_date", ""), # col 8 Posted Date
score, # col 9 Relevance Score
_pct(ats_b), # col 10 ATS Before (%)
_pct(ats_a), # col 11 ATS After (%)
improv_str, # col 12 ATS Improvement
job.get("skills_match_percentage", ""), # col 13 Skills Match %
job.get("experience_match", ""), # col 14 Experience Match
job.get("application_priority", ""), # col 15 Application Priority
job.get("matching_skills", ""), # col 16 Matching Skills
job.get("missing_skills", ""), # col 17 Missing Skills
job.get("key_strengths", ""), # col 18 Key Strengths
job.get("recommendation", ""), # col 19 Recommendation
job.get("ats_keywords", ""), # col 20 ATS Keywords
job.get("resume_generated", "No"), # col 21 Resume Generated
job.get("resume_path", ""), # col 22 Resume Path
job.get("url", ""), # col 23 Job URL
"Not Applied", # col 24 Application Status
"", # col 25 Notes
]
for col, value in enumerate(values, 1):
cell = ws.cell(row=r, column=col, value=value)
cell.fill = PatternFill("solid", fgColor=row_color)
cell.font = Font(name="Calibri", size=10)
cell.alignment = Alignment(wrap_text=True, vertical="top")
cell.border = Border(
bottom=Side(style="thin", color="D9D9D9"),
right=Side(style="thin", color="D9D9D9"),
)
# Score cell β colored badge (col 9)
if col == 9:
score_bg, score_fg = self._score_cell_style(score)
cell.fill = PatternFill("solid", fgColor=score_bg)
cell.font = Font(name="Calibri", size=11, bold=True, color=score_fg)
cell.alignment = Alignment(horizontal="center", vertical="center")
# ATS columns center-aligned (cols 10-12)
if col in (10, 11, 12):
cell.alignment = Alignment(horizontal="center", vertical="center")
# URL β hyperlink (col 23)
if col == 23 and value:
cell.hyperlink = str(value)
cell.font = Font(name="Calibri", size=10, color="0563C1", underline="single")
cell.value = "View Job"
# Priority coloring (col 15)
if col == 15 and value in PRIORITY_COLORS:
cell.fill = PatternFill("solid", fgColor=PRIORITY_COLORS[value])
cell.font = Font(name="Calibri", size=10, bold=True)
ws.row_dimensions[r].height = 50
# Column widths
for col_idx, (_, width) in enumerate(HEADERS, 1):
ws.column_dimensions[get_column_letter(col_idx)].width = width
ws.freeze_panes = "A3"
ws.auto_filter.ref = f"A2:{get_column_letter(len(HEADERS))}{len(jobs) + 2}"
def _write_header_row(self, ws, headers: list, row: int):
for col, (label, _) in enumerate(headers, 1):
cell = ws.cell(row=row, column=col, value=label)
cell.font = Font(name="Calibri", size=11, bold=True, color="FFFFFF")
cell.fill = PatternFill("solid", fgColor="1648BE")
cell.alignment = Alignment(horizontal="center", vertical="center", wrap_text=True)
cell.border = Border(
bottom=Side(style="medium", color="FFFFFF"),
right=Side(style="thin", color="8EAADB"),
)
ws.row_dimensions[row].height = 35
def _score_row_color(self, score: int) -> str:
if score >= 8:
return "F0FFF0"
elif score >= 6:
return "FFFDE7"
elif score >= 4:
return "FFF3E0"
return "FFF8F8"
def _score_cell_style(self, score: int) -> tuple[str, str]:
if score >= 8:
return ("1A7A1A", "FFFFFF")
elif score >= 6:
return ("FF8C00", "FFFFFF")
elif score >= 4:
return ("CC5500", "FFFFFF")
return ("CC0000", "FFFFFF")
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