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19 Commits

Author SHA1 Message Date
copilot-swe-agent[bot]
03187ab456 Remove cv.alves.world references from README
Agent-Logs-Url: https://github.com/velocitatem/cvfs/sessions/96afd90d-596d-4afd-a366-a95782f198f4

Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>
2026-04-07 20:37:34 +00:00
Daniel Alves Rösel
9b5add1cdf Merge pull request #9 from velocitatem/copilot/remove-maximum-patchsize
Remove max patchsize limit from validate_patchset
2026-04-07 14:18:36 +04:00
copilot-swe-agent[bot]
3838bfe51a remove max patchsize limit from validate_patchset
Agent-Logs-Url: https://github.com/velocitatem/cvfs/sessions/e5483685-0807-4655-ba29-68311e6403db

Co-authored-by: velocitatem <60182044+velocitatem@users.noreply.github.com>
2026-04-07 10:08:56 +00:00
Daniel Alves Rösel
9c57dcaedb Skip dashboard auth middleware in demo mode 2026-04-05 16:36:49 +04:00
Claude
5680465e98 Skip login redirect in demo mode
When NEXT_PUBLIC_DEMO=true, bypass session/OIDC checks and allow direct dashboard access.

https://claude.ai/code/session_01PD5xMUxpkDEdfTAGZ2J4Yr
2026-04-05 12:20:17 +00:00
41352b05ec chore: upgrade Next.js to 15.5.14 for security 2026-04-05 13:44:23 +02:00
04882b2652 fix: remove unused dashboard demo timestamp constant 2026-04-05 13:41:46 +02:00
Daniel Alves Rösel
6ab7e35a6a Merge pull request #8 from velocitatem/claude/nlp-insights-demo-mode-iG1lv
feat: NLP patch insights + standalone demo mode
2026-04-05 15:27:36 +04:00
Claude
ba4fedd1fa chore: update uv.lock after dependency resolution
https://claude.ai/code/session_01LWxu2qrwY6BRjUFXXn7NiM
2026-04-05 09:34:23 +00:00
Claude
615d1bdb9e feat: NLP patch insights + standalone demo mode
- dlib/ai/insights.py: pure-Python NLP analysis that correlates accepted
  AI suggestion operations/keywords/sections with submission outcomes
  (pending_review / published = positive, archived = negative)
- Backend: GET /api/v1/insights route + service + Pydantic schema
- Frontend: InsightsPanel component with bar charts for operation impact,
  section impact, and keyword signal lift scores
- Insights tab added to the version panel; compact preview on doc overview
- NEXT_PUBLIC_DEMO=true makes the webapp fully standalone: loads
  DEMO_DOCUMENTS / DEMO_SUBMISSIONS / DEMO_INSIGHTS from demo-data.ts,
  disables all mutating actions, shows a DEMO badge in the top bar
- apps/webapp/public/demo-cv.docx: static dummy CV (Alex Rivera) for demo
- scripts/gen_demo_cv.py: script to regenerate the demo DOCX
- .env.example: document NEXT_PUBLIC_DEMO flag

https://claude.ai/code/session_01LWxu2qrwY6BRjUFXXn7NiM
2026-04-05 09:34:01 +00:00
0f32d46404 fix: eager-load submission relations in create/update responses 2026-04-04 15:49:45 +02:00
2f112efe75 fix: cascade delete dependent rows for version removal 2026-04-04 15:46:53 +02:00
2de579ea59 fix: show dashboard overview only on branch selection screen 2026-04-04 15:40:19 +02:00
5facc4b7a5 feat: add dashboard success-rate tracking and submission stages 2026-04-04 15:16:12 +02:00
07fbfbbd85 docs: strengthen README positioning and feature pitch 2026-04-04 15:00:48 +02:00
3f0ac81357 docs: improve system architecture diagram 2026-04-04 14:55:56 +02:00
747c129f0b docs: replace README sketch with mermaid tree 2026-04-04 14:52:59 +02:00
3eb2825a86 fix: accept non-JSON CORS origins env values 2026-04-04 14:48:06 +02:00
Daniel Alves Rösel
ca6e25bb31 Merge pull request #7 from velocitatem/claude/public-ready-setup-n0Sbb
Prepare repository for public deployment
2026-04-04 14:19:55 +04:00
27 changed files with 1401 additions and 458 deletions

View File

@@ -56,3 +56,8 @@ AUTHENTIK_CLIENT_SECRET=
# ── AI tailoring (optional) ───────────────────────────────────────────────────
# Leave blank to use the built-in rule-based tailoring instead of Claude.
ANTHROPIC_API_KEY=
# ── Demo mode ─────────────────────────────────────────────────────────────────
# Set to true to enable standalone demo mode in the webapp.
# Demo mode uses hardcoded dummy data — no backend or DB required.
NEXT_PUBLIC_DEMO=false

View File

@@ -1,7 +1,32 @@
# Resume Branches
CV control plane that treats your resume like a git tree: preserve one canonical ATS-safe DOCX, branch it into role/company variants, review AI-suggested patches, and publish stable public links without losing structure.
A CV file system for tailoring resumes with version-control discipline: keep one canonical ATS-safe DOCX, branch role/company variants, review AI-suggested patches, and publish stable public links.
![cv tree sketch](docs/resume-branches/cv-tree.png)
![Type: CV File System](https://img.shields.io/badge/type-CV%20file%20system-0f766e)
![Frontend: Next.js](https://img.shields.io/badge/frontend-Next.js-111827)
![Backend: FastAPI](https://img.shields.io/badge/backend-FastAPI-059669)
[![License: MIT](https://img.shields.io/badge/license-MIT-2563eb)](LICENSE)
> Turn one master resume into a branching CV file system: specialization branches, role-specific submissions, and immutable public links without sacrificing ATS-safe formatting.
**Why this feels different:**
- Replace copy-paste resume sprawl with a single controlled source of truth.
- Review AI edits as explicit diffs, so every wording change stays auditable.
- Share stable published links while continuing to iterate privately.
`Quick start:` [Run locally](#quick-start) | [See architecture](#system-architecture) | [Explore workflows](#primary-workflows)
```mermaid
graph TD
ROOT[Root CV]
ROOT --> SPEC1[Specialization: ML Engineer]
ROOT --> SPEC2[Specialization: Product Engineer]
SPEC1 --> SUB1[Submission: Company A]
SPEC1 --> SUB2[Submission: Company B]
SPEC2 --> SUB3[Submission: Company C]
SUB1 --> PUB1[Published Public Link]
SUB2 --> PUB2[Published Public Link]
SUB3 --> PUB3[Published Public Link]
```
## Why Resume Branches exists
- **Preserve canonical formatting.** We never regenerate the DOCX wholesale; edits are stored as targeted patches on parsed blocks so ATS cues stay intact.
@@ -9,12 +34,12 @@ CV control plane that treats your resume like a git tree: preserve one canonical
- **Controlled AI.** The worker produces constrained patch suggestions (max delta, no new claims) so you approve meaningful wording tweaks instead of rewriting history.
- **Publish safely.** Only frozen artifacts become public URLs; editing your working tree never breaks the links you already shared.
## Core capabilities
- Upload one ATS-safe DOCX, parse it into stable block paths, and keep the original artifact in object storage.
- Create specialization branches with manual or AI-assisted patches while tracking provenance.
- Tailor for each application: attach metadata, capture job descriptions, and log accepted suggestions.
- Publish any branch/submission as an immutable DOCX/PDF with a slugged URL plus analytics.
- Back everything with FastAPI + Postgres + MinIO + Redis + Celery so heavier jobs stay off the web tier.
## Feature highlights
- **Keep one source of truth.** Start from a single ATS-safe DOCX and preserve structure while every change is tracked as targeted patches.
- **Branch your CV like code.** Spin up role and company variants in seconds without cloning files or losing lineage.
- **Tailor faster with guardrailed AI.** Generate constrained suggestions, review diffs, and accept only what improves relevance.
- **Ship polished versions confidently.** Publish immutable DOCX/PDF artifacts to stable links that never break after edits.
- **Run on production-ready primitives.** FastAPI, Postgres, MinIO, Redis, and Celery separate user flows from heavy background processing.
## Quick start
```bash
@@ -36,16 +61,27 @@ Need Redis/Postgres locally? `make lift.database` (Postgres) and `make up` (Redi
| Shared lib (`dlib`) | Python package | DOCX parser, block schema, patch application/validation, AI prompt helpers, storage adapters |
| Data plane | Postgres + MinIO + Redis | Metadata (documents/versions/patches/submissions), artifact storage (DOCX/PDF/HTML), queues + locks |
```
┌────────┐ GraphQL-like REST ┌────────────┐ Object storage
│ Webapp │ ─────────────────────────▶ │ FastAPI API│ ───▶ (MinIO/S3)
└────────┘ Auth cookie / JWT └──────┬─────┘ ┌────────┐
▲ │ │ Worker │
│ Webhooks / SSE └────┬─────▶ └────────┘
│ │
│ Redis queue / locks
│ │
│ Postgres metadata
```mermaid
flowchart LR
U[User Browser]
W[Webapp\nNext.js]
API[FastAPI API]
WK[Worker\nCelery]
PG[(Postgres)]
RD[(Redis)]
MN[(MinIO / S3)]
U -->|HTTPS| W
W -->|REST + JWT/Cookie| API
API -->|CRUD metadata| PG
API -->|enqueue jobs| RD
API -->|store/fetch artifacts| MN
WK -->|consume jobs| RD
WK -->|read/write metadata| PG
WK -->|render + publish assets| MN
API -.->|status/events| W
```
## Data model snapshot
@@ -69,9 +105,9 @@ Need Redis/Postgres locally? `make lift.database` (Postgres) and `make up` (Redi
| Variable | Description | Default |
|----------|-------------|---------|
| `API_BASE_URL` | Backend host consumed by the webapp build + runtime. | `http://cvfs-backend:8080` in Docker |
| `NEXT_PUBLIC_BASE_URL` | Public origin for web routes. | `https://cv.alves.world` |
| `NEXT_PUBLIC_BASE_URL` | Public origin for web routes. | |
| `AUTHENTIK_*` / `AUTH_OIDC_*` | OIDC issuer, audience, and client credentials. | required |
| `MINIO_ENDPOINT` / `MINIO_BUCKET` | Object storage endpoint + bucket for artifacts. | `https://storage.cv.alves.world` / `resume-branches` |
| `MINIO_ENDPOINT` / `MINIO_BUCKET` | Object storage endpoint + bucket for artifacts. | |
| `REDIS_URL` | Celery broker/result backend. | `redis://cvfs-redis:6379/0` |
| `DATABASE_URL` | SQLAlchemy DSN for Postgres. | `postgresql+asyncpg://postgres:postgres@cvfs-postgres:5432/resume_branches` |
| `ANTHROPIC_API_KEY` | Enables AI tailoring jobs. | unset |
@@ -112,7 +148,7 @@ Use `bun x nx affected -t lint,test,build` before PRs to run fine-grained checks
## Deployment notes
- **Docker images:** `docker/backend-fastapi.Dockerfile`, `docker/webapp.Dockerfile`, and `docker/worker.Dockerfile` bake env args for Dokploy. The web build now receives `API_BASE_URL` so rewrites point at the deployed backend.
- **Dokploy:** see `docs/resume-branches/dokploy.md` for the API payload that provisions `cvfs-backend`, `cvfs-webapp`, Redis, Postgres, and MinIO on `cv.alves.world` / `api.cv.alves.world`.
- **Dokploy:** see `docs/resume-branches/dokploy.md` for the API payload that provisions `cvfs-backend`, `cvfs-webapp`, Redis, Postgres, and MinIO.
- **Storage:** `make lift.minio` mirrors the production bucket layout. Set `MINIO_ROOT_USER/MINIO_ROOT_PASSWORD` for parity. Public artifacts should only be published via the API to guarantee immutability + audit logging.
## Limitations & next steps

View File

@@ -2,10 +2,11 @@ from __future__ import annotations
from fastapi import APIRouter
from app.api.routes import documents, versions, submissions, public
from app.api.routes import documents, insights, versions, submissions, public
api_router = APIRouter()
api_router.include_router(documents.router)
api_router.include_router(versions.router)
api_router.include_router(submissions.router)
api_router.include_router(public.router)
api_router.include_router(insights.router)

View File

@@ -0,0 +1,41 @@
from __future__ import annotations
from fastapi import APIRouter, Depends
from sqlalchemy.ext.asyncio import AsyncSession
from app.api.deps import get_current_user, get_db
from app.schemas.insights import InsightsResponse
from app.services.insights import get_insights
from dlib.auth import AuthenticatedUser
router = APIRouter(prefix="/insights", tags=["insights"])
@router.get("", response_model=InsightsResponse)
async def insights_endpoint(
session: AsyncSession = Depends(get_db),
user: AuthenticatedUser = Depends(get_current_user),
):
result = await get_insights(session, owner_id=user.sub)
return InsightsResponse(
total_submissions=result.total_submissions,
positive_count=result.positive_count,
positive_rate=result.positive_rate,
operation_impact=[
{"operation": o.operation, "total": o.total, "positive": o.positive, "rate": o.rate}
for o in result.operation_impact
],
top_positive_keywords=[
{"keyword": k.keyword, "positive_count": k.positive_count, "negative_count": k.negative_count, "lift": k.lift}
for k in result.top_positive_keywords
],
top_negative_keywords=[
{"keyword": k.keyword, "positive_count": k.positive_count, "negative_count": k.negative_count, "lift": k.lift}
for k in result.top_negative_keywords
],
section_impact=[
{"section": s.section, "positive_rate": s.positive_rate, "count": s.count}
for s in result.section_impact
],
has_data=result.has_data,
)

View File

@@ -8,6 +8,7 @@ from app.schemas import (
AiSuggestionRequest,
SubmissionCreateRequest,
SubmissionResponse,
SubmissionStatusUpdateRequest,
SuggestionResponse,
SuggestionUpdateRequest,
)
@@ -16,8 +17,10 @@ from app.services.submissions import (
get_submission,
list_submissions,
request_ai_suggestions,
update_submission_status,
update_suggestion,
)
from app.models import SubmissionStatus
from dlib.auth import AuthenticatedUser
@@ -40,7 +43,9 @@ async def get_submission_endpoint(
session: AsyncSession = Depends(get_db),
user: AuthenticatedUser = Depends(get_current_user),
):
submission = await get_submission(session, owner_id=user.sub, submission_id=submission_id)
submission = await get_submission(
session, owner_id=user.sub, submission_id=submission_id
)
if not submission:
raise HTTPException(status_code=404, detail="Submission not found")
return SubmissionResponse.model_validate(submission)
@@ -66,6 +71,24 @@ async def create_submission_endpoint(
return SubmissionResponse.model_validate(submission)
@router.patch("/{submission_id}/status", response_model=SubmissionResponse)
async def update_submission_status_endpoint(
submission_id: str,
payload: SubmissionStatusUpdateRequest,
session: AsyncSession = Depends(get_db),
user: AuthenticatedUser = Depends(get_current_user),
):
submission = await update_submission_status(
session,
owner_id=user.sub,
submission_id=submission_id,
status=SubmissionStatus(payload.status),
)
if not submission:
raise HTTPException(status_code=404, detail="Submission not found")
return SubmissionResponse.model_validate(submission)
@router.post("/{submission_id}/ai", response_model=list[SuggestionResponse])
async def request_submissions_ai(
submission_id: str,
@@ -85,7 +108,9 @@ async def request_submissions_ai(
return [SuggestionResponse.model_validate(item) for item in suggestions]
@router.patch("/{submission_id}/suggestions/{suggestion_id}", response_model=SuggestionResponse)
@router.patch(
"/{submission_id}/suggestions/{suggestion_id}", response_model=SuggestionResponse
)
async def update_suggestion_endpoint(
submission_id: str,
suggestion_id: str,

View File

@@ -1,10 +1,11 @@
from __future__ import annotations
import json
from functools import lru_cache
from typing import List
from typing import Annotated, List
from pydantic import Field, field_validator
from pydantic_settings import BaseSettings
from pydantic_settings import BaseSettings, NoDecode
class Settings(BaseSettings):
@@ -15,7 +16,7 @@ class Settings(BaseSettings):
default="postgresql+asyncpg://postgres:postgres@localhost:5432/resume_branches",
alias="DATABASE_URL",
)
cors_origins: List[str] = Field(
cors_origins: Annotated[List[str], NoDecode] = Field(
default_factory=lambda: ["http://localhost:3000"], alias="CORS_ORIGINS"
)
@@ -54,6 +55,15 @@ class Settings(BaseSettings):
@classmethod
def _split_origins(cls, value):
if isinstance(value, str):
stripped = value.strip()
if not stripped:
return []
if stripped.startswith("["):
parsed = json.loads(stripped)
if isinstance(parsed, list):
return [
str(origin).strip() for origin in parsed if str(origin).strip()
]
return [origin.strip() for origin in value.split(",") if origin.strip()]
return value

View File

@@ -52,9 +52,15 @@ class CvVersion(Base, IdentifierMixin, TimestampMixin):
parent: Mapped["CvVersion | None"] = relationship(
"CvVersion", remote_side="[CvVersion.id]"
)
patches: Mapped[list["CvPatch"]] = relationship("CvPatch", back_populates="version")
patches: Mapped[list["CvPatch"]] = relationship(
"CvPatch",
back_populates="version",
cascade="all, delete-orphan",
)
submissions: Mapped[list["Submission"]] = relationship(
"Submission", back_populates="version"
"Submission",
back_populates="version",
cascade="all, delete-orphan",
)
public_assets: Mapped[list["PublicAsset"]] = relationship(
"PublicAsset",
@@ -118,7 +124,9 @@ class Submission(Base, IdentifierMixin, TimestampMixin):
version: Mapped[CvVersion] = relationship("CvVersion", back_populates="submissions")
suggestions: Mapped[list["AiSuggestion"]] = relationship(
"AiSuggestion", back_populates="submission"
"AiSuggestion",
back_populates="submission",
cascade="all, delete-orphan",
)
public_asset: Mapped["PublicAsset | None"] = relationship(
"PublicAsset", back_populates="submission"

View File

@@ -11,6 +11,7 @@ from .cv import (
PublishRequest,
SubmissionCreateRequest,
SubmissionResponse,
SubmissionStatusUpdateRequest,
SuggestionResponse,
SuggestionUpdateRequest,
VersionResponse,
@@ -25,6 +26,7 @@ __all__ = [
"PatchApplyRequest",
"SubmissionCreateRequest",
"SubmissionResponse",
"SubmissionStatusUpdateRequest",
"AiSuggestionRequest",
"SuggestionResponse",
"SuggestionUpdateRequest",

View File

@@ -1,7 +1,7 @@
from __future__ import annotations
from datetime import datetime
from typing import Any
from typing import Any, Literal
from pydantic import BaseModel, ConfigDict, Field
@@ -90,6 +90,16 @@ class SubmissionCreateRequest(BaseModel):
job_description: str | None = None
class SubmissionStatusUpdateRequest(BaseModel):
status: Literal[
"draft",
"tailoring",
"pending_review",
"published",
"archived",
]
class SuggestionResponse(BaseModel):
model_config = ConfigDict(from_attributes=True)

View File

@@ -0,0 +1,34 @@
from __future__ import annotations
from pydantic import BaseModel
class OperationImpactSchema(BaseModel):
operation: str
total: int
positive: int
rate: float
class KeywordSignalSchema(BaseModel):
keyword: str
positive_count: int
negative_count: int
lift: float
class SectionImpactSchema(BaseModel):
section: str
positive_rate: float
count: int
class InsightsResponse(BaseModel):
total_submissions: int
positive_count: int
positive_rate: float
operation_impact: list[OperationImpactSchema]
top_positive_keywords: list[KeywordSignalSchema]
top_negative_keywords: list[KeywordSignalSchema]
section_impact: list[SectionImpactSchema]
has_data: bool

View File

@@ -99,9 +99,6 @@ async def delete_document(
await session.execute(
delete(PublicAsset).where(PublicAsset.version_id.in_(version_ids))
)
# Null root_version_id to break the circular FK before cascade
doc.root_version_id = None
await session.flush()
await session.delete(doc)
await session.commit()
for key in artifact_keys:

View File

@@ -0,0 +1,37 @@
from __future__ import annotations
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import selectinload
from dlib.ai.insights import InsightsResult, SubmissionRecord, SuggestionRecord, analyze
from app.models import AiSuggestion, CvDocument, CvVersion, Submission
async def get_insights(session: AsyncSession, *, owner_id: str) -> InsightsResult:
stmt = (
select(Submission)
.join(Submission.version)
.join(CvVersion.document)
.where(CvDocument.owner_id == owner_id)
.options(selectinload(Submission.suggestions))
)
rows = list((await session.execute(stmt)).scalars().all())
records = [
SubmissionRecord(
status=s.status.value,
suggestions=[
SuggestionRecord(
operation=sug.operation,
target_path=sug.target_path,
proposed_text=sug.proposed_text,
rationale=sug.rationale,
accepted=sug.accepted,
)
for sug in s.suggestions
],
)
for s in rows
]
return analyze(records)

View File

@@ -33,8 +33,7 @@ async def create_submission(
)
session.add(submission)
await session.commit()
await session.refresh(submission)
return submission
return await _get_submission_for_owner(session, owner_id, submission.id)
async def request_ai_suggestions(
@@ -133,6 +132,21 @@ async def update_suggestion(
return suggestion
async def update_submission_status(
session: AsyncSession,
*,
owner_id: str,
submission_id: str,
status: SubmissionStatus,
) -> Submission | None:
submission = await _get_submission_for_owner(session, owner_id, submission_id)
if not submission:
return None
submission.status = status
await session.commit()
return await _get_submission_for_owner(session, owner_id, submission_id)
async def _get_version_for_owner(
session: AsyncSession, owner_id: str, version_id: str
) -> CvVersion | None:
@@ -155,7 +169,10 @@ async def _get_submission_for_owner(
.join(Submission.version)
.join(CvVersion.document)
.where(Submission.id == submission_id, CvDocument.owner_id == owner_id)
.options(selectinload(Submission.version))
.options(
selectinload(Submission.version),
selectinload(Submission.suggestions),
)
)
result = await session.execute(stmt)
return result.scalars().one_or_none()

View File

@@ -78,7 +78,7 @@ async def create_branch(
stmt_refresh = (
select(CvVersion)
.where(CvVersion.id == new_version.id)
.options(selectinload(CvVersion.patches), selectinload(CvVersion.public_assets))
.options(selectinload(CvVersion.patches))
)
result = await session.execute(stmt_refresh)
return result.scalars().one()
@@ -138,7 +138,7 @@ async def append_patches_to_version(
stmt_refresh = (
select(CvVersion)
.where(CvVersion.id == version_id)
.options(selectinload(CvVersion.patches), selectinload(CvVersion.public_assets))
.options(selectinload(CvVersion.patches))
)
result = await session.execute(stmt_refresh)
return result.scalars().one()

View File

@@ -7,7 +7,7 @@
"dependencies": {
"@supabase/ssr": "^0.7.0",
"@supabase/supabase-js": "^2.57.4",
"next": "15.5.2",
"next": "15.5.14",
"react": "19.1.0",
"react-dom": "19.1.0",
},
@@ -18,7 +18,7 @@
"@types/react": "^19",
"@types/react-dom": "^19",
"eslint": "^9",
"eslint-config-next": "15.5.2",
"eslint-config-next": "15.5.14",
"tailwindcss": "^4",
"typescript": "^5",
},
@@ -117,25 +117,25 @@
"@napi-rs/wasm-runtime": ["@napi-rs/wasm-runtime@0.2.12", "", { "dependencies": { "@emnapi/core": "^1.4.3", "@emnapi/runtime": "^1.4.3", "@tybys/wasm-util": "^0.10.0" } }, "sha512-ZVWUcfwY4E/yPitQJl481FjFo3K22D6qF0DuFH6Y/nbnE11GY5uguDxZMGXPQ8WQ0128MXQD7TnfHyK4oWoIJQ=="],
"@next/env": ["@next/env@15.5.2", "", {}, "sha512-Qe06ew4zt12LeO6N7j8/nULSOe3fMXE4dM6xgpBQNvdzyK1sv5y4oAP3bq4LamrvGCZtmRYnW8URFCeX5nFgGg=="],
"@next/env": ["@next/env@15.5.14", "", {}, "sha512-aXeirLYuASxEgi4X4WhfXsShCFxWDfNn/8ZeC5YXAS2BB4A8FJi1kwwGL6nvMVboE7fZCzmJPNdMvVHc8JpaiA=="],
"@next/eslint-plugin-next": ["@next/eslint-plugin-next@15.5.2", "", { "dependencies": { "fast-glob": "3.3.1" } }, "sha512-lkLrRVxcftuOsJNhWatf1P2hNVfh98k/omQHrCEPPriUypR6RcS13IvLdIrEvkm9AH2Nu2YpR5vLqBuy6twH3Q=="],
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@@ -13,7 +13,7 @@
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},
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"typescript": "^5"
}

Binary file not shown.

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@@ -0,0 +1,164 @@
import type { Document, Submission, InsightsResult } from '@/libs/api';
const D = (daysAgo: number) => new Date(Date.now() - daysAgo * 86_400_000).toISOString();
const ROOT_VERSION_ID = 'demo-v1';
const ML_VERSION_ID = 'demo-v2';
const BACKEND_VERSION_ID = 'demo-v3';
export const DEMO_DOC_ID = 'demo-doc-1';
export const DEMO_DOCUMENTS: Document[] = [
{
id: DEMO_DOC_ID,
title: 'Alex Rivera — Software Engineer',
description: 'Main CV, ATS-safe baseline',
owner_id: 'demo-user',
root_version_id: ROOT_VERSION_ID,
created_at: D(45),
updated_at: D(3),
versions: [
{
id: ROOT_VERSION_ID,
branch_name: 'root',
version_label: 'v1.0 baseline',
parent_version_id: null,
structured_blocks: [
{ path: 'heading[1]', block_type: 'heading', text: 'Alex Rivera', keywords: [] },
{ path: 'summary[1]', block_type: 'summary', text: 'Software engineer with 5 years of experience building distributed systems and ML pipelines at scale.', keywords: ['distributed', 'systems', 'machine', 'learning'] },
{ path: 'heading[2]', block_type: 'heading', text: 'Experience', keywords: [] },
{ path: 'bullet[1]', block_type: 'bullet', text: 'Led migration of monolithic data pipeline to distributed microservices, reducing p99 latency by 40%.', keywords: ['distributed', 'microservices', 'latency', 'pipeline'] },
{ path: 'bullet[2]', block_type: 'bullet', text: 'Designed feature flag system used by 50+ engineers across 3 teams.', keywords: ['system', 'design', 'engineers'] },
{ path: 'heading[3]', block_type: 'heading', text: 'Skills', keywords: [] },
{ path: 'skills[1]', block_type: 'skills', text: 'Python, Go, TypeScript, SQL, Kubernetes, AWS, PyTorch', keywords: ['python', 'go', 'typescript', 'pytorch', 'kubernetes'] },
],
artifact_docx_key: 'demo/demo-cv.docx',
patches: [],
public_assets: [],
created_at: D(45),
updated_at: D(45),
},
{
id: ML_VERSION_ID,
branch_name: 'ml-engineer',
version_label: 'ML-focused variant',
parent_version_id: ROOT_VERSION_ID,
structured_blocks: [
{ path: 'heading[1]', block_type: 'heading', text: 'Alex Rivera', keywords: [] },
{ path: 'summary[1]', block_type: 'summary', text: 'ML engineer specialising in large-scale PyTorch training pipelines, distributed inference, and production-grade MLOps.', keywords: ['pytorch', 'distributed', 'mlops', 'inference'] },
{ path: 'heading[2]', block_type: 'heading', text: 'Experience', keywords: [] },
{ path: 'bullet[1]', block_type: 'bullet', text: 'Contributed PyTorch anomaly detection model achieving 92% precision on production traffic at 2M events/day.', keywords: ['pytorch', 'machine learning', 'production', 'precision'] },
{ path: 'bullet[2]', block_type: 'bullet', text: 'Built streaming data ingestion system (Kafka + Flink) powering real-time ML feature store.', keywords: ['kafka', 'flink', 'streaming', 'feature store'] },
{ path: 'heading[3]', block_type: 'heading', text: 'Skills', keywords: [] },
{ path: 'skills[1]', block_type: 'skills', text: 'PyTorch, Python, Go, Kubernetes, Spark, dbt, AWS SageMaker', keywords: ['pytorch', 'python', 'kubernetes', 'spark', 'sagemaker'] },
],
artifact_docx_key: 'demo/demo-cv.docx',
patches: [
{ id: 'dp1', target_path: 'summary[1]', operation: 'replace_text', old_value: 'Software engineer…', new_value: 'ML engineer specialising…', created_at: D(30) },
{ id: 'dp2', target_path: 'skills[1]', operation: 'boost_keyword', old_value: null, new_value: 'PyTorch', created_at: D(30) },
],
public_assets: [{
id: 'demo-asset-1', slug: 'alex-ml', artifact_key: 'public/alex-ml.docx',
is_public: true, url: '/demo-cv.docx', version_id: ML_VERSION_ID, submission_id: null, created_at: D(20),
}],
created_at: D(30),
updated_at: D(3),
},
{
id: BACKEND_VERSION_ID,
branch_name: 'backend-engineer',
version_label: 'Backend-focused variant',
parent_version_id: ROOT_VERSION_ID,
structured_blocks: [
{ path: 'heading[1]', block_type: 'heading', text: 'Alex Rivera', keywords: [] },
{ path: 'summary[1]', block_type: 'summary', text: 'Backend engineer focused on high-throughput API design, distributed systems, and reliability engineering.', keywords: ['backend', 'api', 'distributed', 'reliability'] },
{ path: 'bullet[1]', block_type: 'bullet', text: 'Led migration to microservices, reducing p99 latency by 40% under 10k RPS sustained load.', keywords: ['microservices', 'latency', 'rps', 'distributed'] },
{ path: 'skills[1]', block_type: 'skills', text: 'Go, Python, PostgreSQL, Redis, gRPC, Kubernetes, AWS', keywords: ['go', 'postgresql', 'redis', 'grpc', 'kubernetes'] },
],
artifact_docx_key: 'demo/demo-cv.docx',
patches: [
{ id: 'dp3', target_path: 'summary[1]', operation: 'replace_text', old_value: 'Software engineer…', new_value: 'Backend engineer…', created_at: D(25) },
],
public_assets: [],
created_at: D(25),
updated_at: D(10),
},
],
},
];
export const DEMO_SUBMISSIONS: Submission[] = [
{
id: 'ds1', version_id: ML_VERSION_ID, company_name: 'Anthropic', role_title: 'ML Research Engineer',
job_url: null, job_description: null, status: 'pending_review', created_at: D(18),
suggestions: [
{ id: 's1', target_path: 'summary[1]', operation: 'boost_keyword', proposed_text: 'constitutional ai', rationale: 'Highlight alignment research experience', accepted: true, metadata_json: { confidence: 0.82 } },
{ id: 's2', target_path: 'bullet[1]', operation: 'replace_text', proposed_text: 'Built distributed PyTorch training pipeline handling constitutional AI fine-tuning at scale.', rationale: 'Align with Anthropic stack', accepted: true, metadata_json: { confidence: 0.74 } },
],
},
{
id: 'ds2', version_id: ML_VERSION_ID, company_name: 'Google DeepMind', role_title: 'Senior ML Engineer',
job_url: null, job_description: null, status: 'pending_review', created_at: D(14),
suggestions: [
{ id: 's3', target_path: 'skills[1]', operation: 'boost_keyword', proposed_text: 'JAX', rationale: 'DeepMind uses JAX heavily', accepted: true, metadata_json: { confidence: 0.71 } },
{ id: 's4', target_path: 'bullet[2]', operation: 'replace_text', proposed_text: 'Built large-scale streaming pipeline underpinning real-time feature store for JAX model serving.', rationale: 'Add JAX context', accepted: true, metadata_json: { confidence: 0.68 } },
],
},
{
id: 'ds3', version_id: ML_VERSION_ID, company_name: 'OpenAI', role_title: 'Research Engineer',
job_url: null, job_description: null, status: 'published', created_at: D(10),
suggestions: [
{ id: 's5', target_path: 'summary[1]', operation: 'replace_text', proposed_text: 'ML engineer with track record in large-scale training infrastructure and RLHF pipelines.', rationale: 'OpenAI focus on RLHF', accepted: true, metadata_json: { confidence: 0.77 } },
],
},
{
id: 'ds4', version_id: ML_VERSION_ID, company_name: 'Meta AI', role_title: 'ML Infrastructure Engineer',
job_url: null, job_description: null, status: 'archived', created_at: D(22),
suggestions: [
{ id: 's6', target_path: 'bullet[1]', operation: 'boost_keyword', proposed_text: 'PyTorch', rationale: 'Meta maintains PyTorch', accepted: true, metadata_json: { confidence: 0.55 } },
{ id: 's7', target_path: 'summary[1]', operation: 'suppress_block', proposed_text: null, rationale: 'Summary too generic', accepted: false, metadata_json: { confidence: 0.3 } },
],
},
{
id: 'ds5', version_id: BACKEND_VERSION_ID, company_name: 'Stripe', role_title: 'Senior Backend Engineer',
job_url: null, job_description: null, status: 'pending_review', created_at: D(8),
suggestions: [
{ id: 's8', target_path: 'bullet[1]', operation: 'replace_text', proposed_text: 'Led migration to microservices achieving 99.99% uptime across Stripe-scale payment processing.', rationale: 'Emphasise reliability', accepted: true, metadata_json: { confidence: 0.79 } },
],
},
{
id: 'ds6', version_id: BACKEND_VERSION_ID, company_name: 'Cloudflare', role_title: 'Staff Engineer',
job_url: null, job_description: null, status: 'archived', created_at: D(20),
suggestions: [
{ id: 's9', target_path: 'skills[1]', operation: 'boost_keyword', proposed_text: 'Rust', rationale: 'Cloudflare uses Rust', accepted: true, metadata_json: { confidence: 0.4 } },
],
},
];
export const DEMO_INSIGHTS: InsightsResult = {
total_submissions: 6,
positive_count: 4,
positive_rate: 0.667,
has_data: true,
operation_impact: [
{ operation: 'replace_text', total: 5, positive: 4, rate: 0.8 },
{ operation: 'boost_keyword', total: 5, positive: 3, rate: 0.6 },
{ operation: 'suppress_block', total: 1, positive: 0, rate: 0.0 },
],
top_positive_keywords: [
{ keyword: 'pytorch', positive_count: 4, negative_count: 1, lift: 4.0 },
{ keyword: 'distributed', positive_count: 3, negative_count: 0, lift: 3.0 },
{ keyword: 'pipeline', positive_count: 3, negative_count: 1, lift: 3.0 },
{ keyword: 'scale', positive_count: 3, negative_count: 1, lift: 3.0 },
{ keyword: 'reliability', positive_count: 2, negative_count: 0, lift: 2.0 },
{ keyword: 'inference', positive_count: 2, negative_count: 0, lift: 2.0 },
],
top_negative_keywords: [
{ keyword: 'generic', positive_count: 0, negative_count: 2, lift: 0.0 },
{ keyword: 'suppress', positive_count: 0, negative_count: 1, lift: 0.0 },
],
section_impact: [
{ section: 'summary', positive_rate: 0.83, count: 6 },
{ section: 'bullet', positive_rate: 0.75, count: 4 },
{ section: 'skills', positive_rate: 0.5, count: 4 },
],
};

View File

@@ -3,16 +3,29 @@
import { useEffect, useRef, useState } from 'react';
import CVTree from '@/components/cv/CVTree';
import DiffViewer from '@/components/cv/DiffViewer';
import InsightsPanel from '@/components/cv/InsightsPanel';
import Link from 'next/link';
import {
appendPatches,
createBranch, createSubmission, deleteDocument, deleteVersion,
Document, downloadVersionUrl,
fetchDocuments, fetchSubmissions, fetchPublicAssetAnalytics, getPublicPdfUrl,
fetchDocuments, fetchInsights, fetchSubmissions, fetchPublicAssetAnalytics, getPublicPdfUrl,
InsightsResult,
IS_DEMO,
publishVersion, PublicAsset, PublicAssetAnalytics,
requestAiSuggestions,
Submission, StructuredBlock, Suggestion, updateSuggestion, uploadDocument, Version,
Submission,
SubmissionStatus,
StructuredBlock,
Suggestion,
updateSubmissionStatus,
updateSuggestion,
uploadDocument,
Version,
} from '@/libs/api';
import {
DEMO_DOCUMENTS, DEMO_DOC_ID, DEMO_INSIGHTS, DEMO_SUBMISSIONS,
} from './demo-data';
// ── helpers ───────────────────────────────────────────────────────────────────
@@ -20,12 +33,32 @@ function fmt(iso: string) {
return new Date(iso).toLocaleDateString('en-US', { month: 'short', day: 'numeric', year: 'numeric' });
}
function statusBadge(status: string) {
const SUBMISSION_STATUS_LABELS: Record<SubmissionStatus, string> = {
draft: 'Draft',
tailoring: 'Tailoring',
pending_review: 'Passed screening',
published: 'Submitted',
archived: 'Closed',
};
const SUBMISSION_STATUS_OPTIONS: Array<{ value: SubmissionStatus; label: string }> = [
{ value: 'draft', label: 'Draft' },
{ value: 'tailoring', label: 'Tailoring' },
{ value: 'published', label: 'Submitted' },
{ value: 'pending_review', label: 'Passed screening' },
{ value: 'archived', label: 'Closed' },
];
function isSubmittedStatus(status: SubmissionStatus) {
return status === 'published' || status === 'pending_review' || status === 'archived';
}
function statusBadge(status: SubmissionStatus) {
const cls = ({
draft: 'badge-draft', tailoring: 'badge-submitted', pending_review: 'badge-interviewing',
published: 'badge-public', archived: 'badge-closed',
} as Record<string, string>)[status] ?? 'badge-draft';
return <span className={`badge ${cls}`}>{status.replace('_', ' ')}</span>;
} as Record<SubmissionStatus, string>)[status] ?? 'badge-draft';
return <span className={`badge ${cls}`}>{SUBMISSION_STATUS_LABELS[status] ?? status.replace('_', ' ')}</span>;
}
// ── modals ────────────────────────────────────────────────────────────────────
@@ -304,20 +337,27 @@ function ContentTab({
// ── submissions tab ───────────────────────────────────────────────────────────
function SubmissionsTab({
submissions, loading, versionId,
onNewSubmission, onRefresh,
submissions, loading,
onNewSubmission, onRefresh, onStatusChange,
}: {
submissions: Submission[];
loading: boolean;
versionId: string;
onNewSubmission: () => void;
onRefresh: () => void;
onStatusChange: (submissionId: string, status: SubmissionStatus) => void;
}) {
const [expanded, setExpanded] = useState<string | null>(null);
const [aiLoading, setAiLoading] = useState<string | null>(null);
const [statusLoading, setStatusLoading] = useState<string | null>(null);
const [aiJd, setAiJd] = useState<Record<string, string>>({});
const [suggestions, setSuggestions] = useState<Record<string, Suggestion[]>>({});
const submittedCount = submissions.filter(s => isSubmittedStatus(s.status)).length;
const passedScreeningCount = submissions.filter(s => s.status === 'pending_review').length;
const successRate = submittedCount > 0
? Math.round((passedScreeningCount / submittedCount) * 100)
: 0;
const loadAi = async (s: Submission) => {
const jd = aiJd[s.id] ?? s.job_description ?? '';
if (!jd.trim()) return;
@@ -340,6 +380,19 @@ function SubmissionsTab({
} catch { /* ignore */ }
};
const changeStatus = async (sub: Submission, nextStatus: SubmissionStatus) => {
if (sub.status === nextStatus) return;
setStatusLoading(sub.id);
try {
const updated = await updateSubmissionStatus(sub.id, nextStatus);
onStatusChange(updated.id, updated.status);
} catch {
// ignore for now
} finally {
setStatusLoading(null);
}
};
if (loading) return <div style={{ padding: '20px 0', color: 'var(--text-faint)', fontSize: 13 }}>Loading</div>;
return (
@@ -349,6 +402,21 @@ function SubmissionsTab({
<button className="btn btn-ghost" style={{ fontSize: 12 }} onClick={onNewSubmission}>+ New submission</button>
</div>
<div style={{ display: 'grid', gridTemplateColumns: 'repeat(auto-fit, minmax(150px, 1fr))', gap: 8, marginBottom: 12 }}>
<div style={{ border: '1px solid var(--border)', borderRadius: 6, padding: '8px 10px', background: '#fff' }}>
<div className="label" style={{ marginBottom: 4 }}>Submitted</div>
<div style={{ fontSize: 18, fontWeight: 600 }}>{submittedCount}</div>
</div>
<div style={{ border: '1px solid var(--border)', borderRadius: 6, padding: '8px 10px', background: '#fff' }}>
<div className="label" style={{ marginBottom: 4 }}>Passed screening</div>
<div style={{ fontSize: 18, fontWeight: 600 }}>{passedScreeningCount}</div>
</div>
<div style={{ border: '1px solid var(--border)', borderRadius: 6, padding: '8px 10px', background: '#fff' }}>
<div className="label" style={{ marginBottom: 4 }}>Success rate</div>
<div style={{ fontSize: 18, fontWeight: 600 }}>{successRate}%</div>
</div>
</div>
{submissions.length === 0 && (
<div style={{ padding: '20px 0', color: 'var(--text-faint)', fontSize: 13 }}>
No submissions yet. Create one to track a job application and get AI tailoring suggestions.
@@ -389,6 +457,20 @@ function SubmissionsTab({
</a>
)}
<div style={{ marginBottom: 12 }}>
<div className="label" style={{ marginBottom: 6 }}>Application stage</div>
<select
value={s.status}
onChange={e => changeStatus(s, e.target.value as SubmissionStatus)}
disabled={statusLoading === s.id}
style={{ maxWidth: 280 }}
>
{SUBMISSION_STATUS_OPTIONS.map(option => (
<option key={option.value} value={option.value}>{option.label}</option>
))}
</select>
</div>
{/* AI tailoring */}
<div style={{ marginBottom: 12 }}>
<div className="label" style={{ marginBottom: 6 }}>AI tailoring</div>
@@ -472,7 +554,7 @@ function SubmissionsTab({
// ── main dashboard ────────────────────────────────────────────────────────────
type Modal = 'upload' | 'branch' | 'submission' | 'publish' | null;
type Tab = 'content' | 'patches' | 'submissions';
type Tab = 'content' | 'patches' | 'submissions' | 'insights';
export default function Dashboard() {
const [docs, setDocs] = useState<Document[]>([]);
@@ -485,23 +567,39 @@ export default function Dashboard() {
const [recentlyPublishedSlug, setRecentlyPublishedSlug] = useState<string | null>(null);
const [activeTab, setActiveTab] = useState<Tab>('content');
const [submissions, setSubmissions] = useState<Submission[]>([]);
const [allSubmissions, setAllSubmissions] = useState<Submission[]>([]);
const [subsLoading, setSubsLoading] = useState(false);
const [pendingEdits, setPendingEdits] = useState<Map<string, { old_value: string; new_value: string }>>(new Map());
const [sidebarOpen, setSidebarOpen] = useState(false);
const [docHovered, setDocHovered] = useState<string | null>(null);
const [applyLoading, setApplyLoading] = useState(false);
const [applyError, setApplyError] = useState('');
const [insights, setInsights] = useState<InsightsResult | null>(null);
useEffect(() => {
fetchDocuments()
.then(d => {
if (IS_DEMO) {
setDocs(DEMO_DOCUMENTS);
setAllSubmissions(DEMO_SUBMISSIONS);
setSelectedDocId(DEMO_DOC_ID);
setInsights(DEMO_INSIGHTS);
setLoading(false);
return;
}
Promise.all([fetchDocuments(), fetchSubmissions().catch(() => [])])
.then(([d, allSubs]) => {
setDocs(d);
if (d.length) { setSelectedDocId(d[0].id); setSelectedVersionId(d[0].root_version_id ?? null); }
setAllSubmissions(allSubs);
if (d.length) { setSelectedDocId(d[0].id); setSelectedVersionId(null); }
})
.catch(() => setError('Failed to load documents. Make sure the backend is running.'))
.finally(() => setLoading(false));
}, []);
useEffect(() => {
if (IS_DEMO || !selectedDocId) return;
fetchInsights().then(setInsights).catch(() => setInsights(null));
}, [selectedDocId]);
useEffect(() => {
setPendingEdits(new Map());
setApplyError('');
@@ -521,6 +619,13 @@ export default function Dashboard() {
const selectedDoc = docs.find(d => d.id === selectedDocId) ?? null;
const selectedVersion = selectedDoc?.versions.find(v => v.id === selectedVersionId) ?? null;
const selectedDocVersionIds = new Set((selectedDoc?.versions ?? []).map(v => v.id));
const selectedDocSubmissions = allSubmissions.filter(s => selectedDocVersionIds.has(s.version_id));
const selectedDocSubmittedCount = selectedDocSubmissions.filter(s => isSubmittedStatus(s.status)).length;
const selectedDocPassedScreeningCount = selectedDocSubmissions.filter(s => s.status === 'pending_review').length;
const selectedDocSuccessRate = selectedDocSubmittedCount > 0
? Math.round((selectedDocPassedScreeningCount / selectedDocSubmittedCount) * 100)
: 0;
const publishedAssets = selectedVersion?.public_assets ?? [];
const sortedPublishedAssets = [...publishedAssets].sort((a, b) => new Date(b.created_at).getTime() - new Date(a.created_at).getTime());
const publicBaseUrl = (process.env.NEXT_PUBLIC_BASE_URL ?? '').replace(/\/$/, '');
@@ -543,6 +648,7 @@ export default function Dashboard() {
const refreshDocs = async () => {
const fresh = await fetchDocuments().catch(() => docs);
setDocs(fresh);
refreshAllSubs();
return fresh;
};
@@ -551,10 +657,14 @@ export default function Dashboard() {
fetchSubmissions(selectedVersionId).then(setSubmissions).catch(() => { });
};
function refreshAllSubs() {
fetchSubmissions().then(setAllSubmissions).catch(() => { });
}
const onUploadDone = (doc: Document) => {
setDocs(prev => [doc, ...prev.filter(d => d.id !== doc.id)]);
setSelectedDocId(doc.id);
setSelectedVersionId(doc.root_version_id ?? null);
setSelectedVersionId(null);
setModal(null);
setSidebarOpen(false);
};
@@ -569,10 +679,16 @@ export default function Dashboard() {
const onSubmissionDone = (s: Submission) => {
setSubmissions(prev => [s, ...prev]);
setAllSubmissions(prev => [s, ...prev]);
setModal(null);
setActiveTab('submissions');
};
const handleSubmissionStatusChange = (submissionId: string, status: SubmissionStatus) => {
setSubmissions(prev => prev.map(s => (s.id === submissionId ? { ...s, status } : s)));
setAllSubmissions(prev => prev.map(s => (s.id === submissionId ? { ...s, status } : s)));
};
const stageEdit = (path: string, old_value: string, new_value: string) => {
setPendingEdits(prev => new Map(prev).set(path, { old_value, new_value }));
};
@@ -595,6 +711,7 @@ export default function Dashboard() {
};
const handleDeleteDoc = async (docId: string) => {
if (IS_DEMO) return;
if (!confirm('Delete this CV and all its branches? This cannot be undone.')) return;
try {
await deleteDocument(docId);
@@ -602,7 +719,7 @@ export default function Dashboard() {
setDocs(updated);
if (selectedDocId === docId) {
setSelectedDocId(updated[0]?.id ?? null);
setSelectedVersionId(updated[0]?.root_version_id ?? null);
setSelectedVersionId(null);
}
} catch (e: unknown) {
alert(e instanceof Error ? e.message : 'Delete failed');
@@ -610,7 +727,7 @@ export default function Dashboard() {
};
const handleDeleteVersion = async (versionId: string) => {
const version = selectedDoc?.versions.find(v => v.id === versionId);
if (IS_DEMO) return;
const hasChildren = selectedDoc?.versions.some(v => v.parent_version_id === versionId);
const msg = hasChildren
? 'Delete this branch and all its sub-branches? This cannot be undone.'
@@ -620,8 +737,9 @@ export default function Dashboard() {
await deleteVersion(versionId);
const fresh = await refreshDocs();
if (selectedVersionId === versionId) {
const doc = fresh.find(d => d.id === selectedDocId);
setSelectedVersionId(doc?.root_version_id ?? null);
const doc = fresh.find(d => d.id === selectedDocId) ?? null;
if (!doc) setSelectedDocId(null);
setSelectedVersionId(null);
}
} catch (e: unknown) {
alert(e instanceof Error ? e.message : 'Delete failed');
@@ -662,12 +780,21 @@ export default function Dashboard() {
</Link>
</div>
<div style={{ display: 'flex', gap: 8, alignItems: 'center' }}>
{IS_DEMO && (
<span style={{ fontSize: 11, padding: '2px 10px', background: '#7c3aed', color: '#fff', borderRadius: 9999, fontWeight: 600, letterSpacing: '0.04em' }}>
DEMO
</span>
)}
{!IS_DEMO && (
<button className="btn btn-primary" style={{ padding: '4px 10px', fontSize: 12 }} onClick={() => setModal('upload')}>
+ Upload CV
</button>
)}
{!IS_DEMO && (
<button className="btn btn-ghost" style={{ padding: '4px 10px', fontSize: 12 }} onClick={logout}>
Sign out
</button>
)}
</div>
</div>
@@ -705,7 +832,7 @@ export default function Dashboard() {
onMouseLeave={() => setDocHovered(null)}
onClick={() => {
setSelectedDocId(d.id);
setSelectedVersionId(d.root_version_id ?? null);
setSelectedVersionId(null);
setActiveTab('content');
setSidebarOpen(false);
}}
@@ -760,9 +887,64 @@ export default function Dashboard() {
{/* main panel */}
<div className="main-panel">
{!selectedVersion && !loading && (
<div style={{ paddingTop: 60, textAlign: 'center', color: 'var(--text-faint)', fontSize: 13 }}>
<div style={{ padding: '16px 20px', overflow: 'auto' }}>
{selectedDoc ? (
<div style={{ border: '1px solid var(--border)', borderRadius: 8, background: '#fff', padding: 12 }}>
<div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', gap: 8, marginBottom: 8 }}>
<div style={{ minWidth: 0 }}>
<div className="label" style={{ marginBottom: 3 }}>Dashboard overview</div>
<div style={{ fontSize: 14, fontWeight: 600, overflow: 'hidden', textOverflow: 'ellipsis', whiteSpace: 'nowrap' }}>
{selectedDoc.title}
</div>
</div>
<span style={{ fontSize: 11, color: 'var(--text-faint)' }}>{selectedDoc.versions.length} version{selectedDoc.versions.length !== 1 ? 's' : ''}</span>
</div>
<div style={{ color: 'var(--text-faint)', fontSize: 13, marginBottom: 10 }}>
Select a branch to view details.
</div>
<div style={{ display: 'grid', gridTemplateColumns: 'repeat(auto-fit, minmax(120px, 1fr))', gap: 8, marginBottom: 10 }}>
<div style={{ border: '1px solid var(--border)', borderRadius: 6, padding: '8px 10px', background: 'var(--surface)' }}>
<div className="label" style={{ marginBottom: 3 }}>Submissions</div>
<div style={{ fontSize: 18, fontWeight: 600 }}>{selectedDocSubmissions.length}</div>
</div>
<div style={{ border: '1px solid var(--border)', borderRadius: 6, padding: '8px 10px', background: 'var(--surface)' }}>
<div className="label" style={{ marginBottom: 3 }}>Submitted</div>
<div style={{ fontSize: 18, fontWeight: 600 }}>{selectedDocSubmittedCount}</div>
</div>
<div style={{ border: '1px solid var(--border)', borderRadius: 6, padding: '8px 10px', background: 'var(--surface)' }}>
<div className="label" style={{ marginBottom: 3 }}>Passed screening</div>
<div style={{ fontSize: 18, fontWeight: 600 }}>{selectedDocPassedScreeningCount}</div>
</div>
<div style={{ border: '1px solid var(--border)', borderRadius: 6, padding: '8px 10px', background: 'var(--surface)' }}>
<div className="label" style={{ marginBottom: 3 }}>Success rate</div>
<div style={{ fontSize: 18, fontWeight: 600 }}>{selectedDocSuccessRate}%</div>
</div>
</div>
<div style={{ border: '1px solid var(--border)', borderRadius: 6, background: 'var(--surface)', maxHeight: 320, overflow: 'auto' }}>
<div className="label" style={{ padding: '8px 10px 4px' }}>Full branch tree</div>
<CVTree
versions={selectedDoc.versions}
selectedVersionId={selectedVersionId}
onSelect={selectVersion}
/>
</div>
{insights?.has_data && (
<div style={{ marginTop: 10 }}>
<div className="label" style={{ marginBottom: 8 }}>NLP insights</div>
<InsightsPanel data={insights} />
</div>
)}
</div>
) : (
<div style={{ paddingTop: 60, textAlign: 'center', color: 'var(--text-faint)', fontSize: 13 }}>
Select a resume to view details.
</div>
)}
</div>
)}
{selectedVersion && (
@@ -794,10 +976,15 @@ export default function Dashboard() {
{/* action buttons */}
<div className="action-buttons">
<button className="btn btn-ghost" onClick={() => setModal('branch')}>Branch</button>
<button className="btn btn-ghost" onClick={() => { setModal('submission'); }}>Submit</button>
<button className="btn btn-ghost" onClick={() => setModal('publish')}>Publish</button>
{selectedVersion.artifact_docx_key && selectedDoc && (
{!IS_DEMO && <button className="btn btn-ghost" onClick={() => setModal('branch')}>Branch</button>}
{!IS_DEMO && <button className="btn btn-ghost" onClick={() => { setModal('submission'); }}>Submit</button>}
{!IS_DEMO && <button className="btn btn-ghost" onClick={() => setModal('publish')}>Publish</button>}
{IS_DEMO && (
<a href="/demo-cv.docx" download="alex-rivera-cv.docx" className="btn btn-ghost">
DOCX
</a>
)}
{!IS_DEMO && selectedVersion.artifact_docx_key && selectedDoc && (
<a href={downloadVersionUrl(selectedDoc.id, selectedVersion.id)} download className="btn btn-ghost">
DOCX
</a>
@@ -900,7 +1087,7 @@ export default function Dashboard() {
{/* tabs */}
<div style={{ display: 'flex', gap: 0, borderBottom: '1px solid var(--border)', overflowX: 'auto' }}>
{(['content', 'patches', 'submissions'] as Tab[]).map(t => (
{(['content', 'patches', 'submissions', 'insights'] as Tab[]).map(t => (
<button
key={t}
onClick={() => setActiveTab(t)}
@@ -932,13 +1119,21 @@ export default function Dashboard() {
)}
{activeTab === 'submissions' && (
<SubmissionsTab
submissions={submissions}
submissions={IS_DEMO
? DEMO_SUBMISSIONS.filter(s => {
const doc = DEMO_DOCUMENTS.find(d => d.id === selectedDocId);
return doc?.versions.some(v => v.id === s.version_id);
})
: submissions}
loading={subsLoading}
versionId={selectedVersionId!}
onNewSubmission={() => setModal('submission')}
onRefresh={refreshSubs}
onNewSubmission={() => !IS_DEMO && setModal('submission')}
onRefresh={() => !IS_DEMO && refreshSubs()}
onStatusChange={handleSubmissionStatusChange}
/>
)}
{activeTab === 'insights' && (
<InsightsPanel data={insights} />
)}
</div>
</>
)}

View File

@@ -28,7 +28,6 @@ function Node({ node, depth, selectedId, onSelect, onDelete, colorIndex = 0 }: {
const v = node.version;
const isRoot = !v.parent_version_id;
const isSelected = v.id === selectedId;
const isLeaf = node.children.length === 0;
const dotColor = DOT_COLORS[colorIndex % DOT_COLORS.length];
return (
@@ -147,4 +146,3 @@ export default function CVTree({ versions, selectedVersionId, onSelect, onDelete
</div>
);
}

View File

@@ -0,0 +1,134 @@
'use client';
import type { InsightsResult } from '@/libs/api';
function Bar({ rate, positive }: { rate: number; positive?: boolean }) {
return (
<div style={{ flex: 1, height: 6, background: 'var(--border)', borderRadius: 3, overflow: 'hidden' }}>
<div style={{
width: `${Math.round(rate * 100)}%`,
height: '100%',
background: positive === false ? '#ef4444' : rate >= 0.6 ? '#22c55e' : rate >= 0.4 ? '#f59e0b' : '#94a3b8',
borderRadius: 3,
transition: 'width 0.3s',
}} />
</div>
);
}
function Pct({ v }: { v: number }) {
return <span style={{ fontVariantNumeric: 'tabular-nums', fontSize: 12, fontWeight: 600, color: v >= 0.6 ? '#16a34a' : v >= 0.4 ? '#d97706' : '#6b7280' }}>{Math.round(v * 100)}%</span>;
}
export default function InsightsPanel({ data }: { data: InsightsResult | null }) {
if (!data) return (
<div style={{ padding: '24px 0', color: 'var(--text-faint)', fontSize: 13, textAlign: 'center' }}>
Loading insights
</div>
);
if (!data.has_data) return (
<div style={{ padding: '24px 0', color: 'var(--text-faint)', fontSize: 13 }}>
Not enough data yet. Submit applications and mark outcomes to unlock insights.
</div>
);
return (
<div style={{ display: 'flex', flexDirection: 'column', gap: 20 }}>
{/* headline numbers */}
<div style={{ display: 'grid', gridTemplateColumns: 'repeat(3, 1fr)', gap: 8 }}>
{[
{ label: 'Total submissions', value: data.total_submissions },
{ label: 'Passed screening', value: data.positive_count },
{ label: 'Screening rate', value: `${Math.round(data.positive_rate * 100)}%` },
].map(({ label, value }) => (
<div key={label} style={{ border: '1px solid var(--border)', borderRadius: 6, padding: '8px 10px', background: 'var(--surface)' }}>
<div className="label" style={{ marginBottom: 3 }}>{label}</div>
<div style={{ fontSize: 18, fontWeight: 600 }}>{value}</div>
</div>
))}
</div>
{/* operation impact */}
{data.operation_impact.length > 0 && (
<section>
<div className="label" style={{ marginBottom: 8 }}>Patch operation impact</div>
<div style={{ display: 'flex', flexDirection: 'column', gap: 6 }}>
{data.operation_impact.map(op => (
<div key={op.operation} style={{ display: 'flex', alignItems: 'center', gap: 10 }}>
<span style={{ fontFamily: 'var(--font-mono)', fontSize: 11, width: 140, flexShrink: 0, color: 'var(--text-muted)' }}>
{op.operation}
</span>
<Bar rate={op.rate} />
<Pct v={op.rate} />
<span style={{ fontSize: 11, color: 'var(--text-faint)', width: 50, textAlign: 'right' }}>
{op.positive}/{op.total}
</span>
</div>
))}
</div>
<p style={{ fontSize: 11, color: 'var(--text-faint)', marginTop: 6 }}>
% of accepted patches of this type in submissions that passed screening.
</p>
</section>
)}
{/* section impact */}
{data.section_impact.length > 0 && (
<section>
<div className="label" style={{ marginBottom: 8 }}>CV section impact</div>
<div style={{ display: 'flex', flexDirection: 'column', gap: 6 }}>
{data.section_impact.map(s => (
<div key={s.section} style={{ display: 'flex', alignItems: 'center', gap: 10 }}>
<span style={{ fontFamily: 'var(--font-mono)', fontSize: 11, width: 80, flexShrink: 0, color: 'var(--text-muted)' }}>
{s.section}
</span>
<Bar rate={s.positive_rate} />
<Pct v={s.positive_rate} />
<span style={{ fontSize: 11, color: 'var(--text-faint)', width: 50, textAlign: 'right' }}>
{s.count} edits
</span>
</div>
))}
</div>
</section>
)}
{/* keyword signals */}
{(data.top_positive_keywords.length > 0 || data.top_negative_keywords.length > 0) && (
<section>
<div className="label" style={{ marginBottom: 8 }}>Keyword signals</div>
<div style={{ display: 'grid', gridTemplateColumns: '1fr 1fr', gap: 12 }}>
<div>
<div style={{ fontSize: 11, color: '#16a34a', fontWeight: 600, marginBottom: 6 }}>Positive signals</div>
<div style={{ display: 'flex', flexDirection: 'column', gap: 4 }}>
{data.top_positive_keywords.map(k => (
<div key={k.keyword} style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center' }}>
<span style={{ fontSize: 12, fontFamily: 'var(--font-mono)', color: 'var(--text)' }}>{k.keyword}</span>
<span style={{ fontSize: 11, color: '#16a34a' }}>+{k.positive_count} ({k.lift}×)</span>
</div>
))}
</div>
</div>
<div>
<div style={{ fontSize: 11, color: '#dc2626', fontWeight: 600, marginBottom: 6 }}>Negative signals</div>
<div style={{ display: 'flex', flexDirection: 'column', gap: 4 }}>
{data.top_negative_keywords.length === 0
? <span style={{ fontSize: 12, color: 'var(--text-faint)' }}>None yet</span>
: data.top_negative_keywords.map(k => (
<div key={k.keyword} style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center' }}>
<span style={{ fontSize: 12, fontFamily: 'var(--font-mono)', color: 'var(--text)' }}>{k.keyword}</span>
<span style={{ fontSize: 11, color: '#dc2626' }}>{k.negative_count}×</span>
</div>
))}
</div>
</div>
</div>
<p style={{ fontSize: 11, color: 'var(--text-faint)', marginTop: 6 }}>
Keywords extracted from accepted AI suggestions, split by outcome.
</p>
</section>
)}
</div>
);
}

View File

@@ -1,4 +1,5 @@
const API = "";
export const IS_DEMO = process.env.NEXT_PUBLIC_DEMO === 'true';
export type StructuredBlock = {
path: string;
@@ -51,6 +52,13 @@ export type Suggestion = {
metadata_json?: { keywords?: string[]; confidence?: number } | null;
};
export type SubmissionStatus =
| 'draft'
| 'tailoring'
| 'pending_review'
| 'published'
| 'archived';
export type Submission = {
id: string;
version_id: string;
@@ -58,7 +66,7 @@ export type Submission = {
role_title: string;
job_url?: string | null;
job_description?: string | null;
status: string;
status: SubmissionStatus;
suggestions: Suggestion[];
created_at: string;
};
@@ -80,6 +88,21 @@ export type PublicAssetAnalytics = {
last_viewed_at?: string | null;
};
export type OperationImpact = { operation: string; total: number; positive: number; rate: number };
export type KeywordSignal = { keyword: string; positive_count: number; negative_count: number; lift: number };
export type SectionImpact = { section: string; positive_rate: number; count: number };
export type InsightsResult = {
total_submissions: number;
positive_count: number;
positive_rate: number;
operation_impact: OperationImpact[];
top_positive_keywords: KeywordSignal[];
top_negative_keywords: KeywordSignal[];
section_impact: SectionImpact[];
has_data: boolean;
};
// reads OIDC bearer token from client-readable cookie (set by /api/auth/callback)
function getAuthHeader(): Record<string, string> {
if (typeof document === 'undefined') return {};
@@ -159,8 +182,10 @@ export async function createSubmission(
});
}
export const fetchSubmissions = (versionId: string): Promise<Submission[]> =>
req<Submission[]>(`/api/v1/submissions?version_id=${versionId}`);
export const fetchSubmissions = (versionId?: string): Promise<Submission[]> => {
const query = versionId ? `?version_id=${encodeURIComponent(versionId)}` : '';
return req<Submission[]>(`/api/v1/submissions${query}`);
};
export const fetchSubmission = (id: string): Promise<Submission> =>
req<Submission>(`/api/v1/submissions/${id}`);
@@ -189,6 +214,17 @@ export async function updateSuggestion(
});
}
export async function updateSubmissionStatus(
submissionId: string,
status: SubmissionStatus,
): Promise<Submission> {
return req<Submission>(`/api/v1/submissions/${submissionId}/status`, {
method: 'PATCH',
headers: { 'content-type': 'application/json' },
body: JSON.stringify({ status }),
});
}
export async function publishVersion(
versionId?: string | null,
submissionId?: string | null,
@@ -218,6 +254,9 @@ export async function deleteDocument(documentId: string): Promise<void> {
}
}
export const fetchInsights = (): Promise<InsightsResult> =>
req<InsightsResult>('/api/v1/insights');
export async function deleteVersion(versionId: string): Promise<void> {
const res = await fetch(`${API}/api/v1/versions/${versionId}`, {
method: 'DELETE',

View File

@@ -19,6 +19,7 @@ async function verifySession(token: string): Promise<boolean> {
export async function middleware(req: NextRequest) {
if (!req.nextUrl.pathname.startsWith('/dashboard')) return NextResponse.next();
if (process.env.NEXT_PUBLIC_DEMO === 'true') return NextResponse.next();
const session = req.cookies.get('session')?.value;
const oidc = req.cookies.get('oidc_token')?.value;
if (oidc) return NextResponse.next();

189
dlib/ai/insights.py Normal file
View File

@@ -0,0 +1,189 @@
from __future__ import annotations
import re
from collections import Counter, defaultdict
from dataclasses import dataclass, field
from typing import Literal
STOPWORDS = frozenset(
"a an the and or but in on at to for of with is are was were be been have has"
" had do does did this that these those it its i you he she we they their our"
" your my his her from by into through about as so if then when where which who"
" can will may should would could also just not no more some all any each"
" than other up out off over how what new using use used with well per".split()
)
Outcome = Literal["positive", "negative"] # positive = pending_review / published
@dataclass
class SuggestionRecord:
operation: str
target_path: str
proposed_text: str | None
rationale: str | None
accepted: bool | None
@dataclass
class SubmissionRecord:
status: str
suggestions: list[SuggestionRecord] = field(default_factory=list)
@dataclass
class OperationImpact:
operation: str
total: int
positive: int
rate: float
@dataclass
class KeywordSignal:
keyword: str
positive_count: int
negative_count: int
lift: float # positive_count / max(negative_count, 1)
@dataclass
class SectionImpact:
section: str
positive_rate: float
count: int
@dataclass
class InsightsResult:
total_submissions: int
positive_count: int
positive_rate: float
operation_impact: list[OperationImpact]
top_positive_keywords: list[KeywordSignal]
top_negative_keywords: list[KeywordSignal]
section_impact: list[SectionImpact]
has_data: bool
def _outcome(status: str) -> Outcome | None:
if status in ("pending_review", "published"):
return "positive"
if status == "archived":
return "negative"
return None # draft / tailoring — not enough signal
def _tokens(text: str | None) -> list[str]:
if not text:
return []
return [
t for t in re.findall(r"[a-z][a-z0-9+.-]{1,}", text.lower())
if t not in STOPWORDS and len(t) > 2
]
def _section_prefix(path: str) -> str:
"""heading[1] -> heading, bullet[3] -> bullet, table[1].0-1 -> table"""
return re.match(r"([a-z_]+)", path).group(1) if path else "unknown"
def analyze(submissions: list[SubmissionRecord]) -> InsightsResult:
labeled = [(s, _outcome(s.status)) for s in submissions]
labeled_known = [(s, o) for s, o in labeled if o is not None]
positive_count = sum(1 for _, o in labeled_known if o == "positive")
# operation impact: only accepted suggestions in outcome-labeled submissions
op_positive: Counter[str] = Counter()
op_total: Counter[str] = Counter()
for sub, outcome in labeled_known:
for sug in sub.suggestions:
if sug.accepted is not True:
continue
op_total[sug.operation] += 1
if outcome == "positive":
op_positive[sug.operation] += 1
op_impact = sorted(
[
OperationImpact(
operation=op,
total=total,
positive=op_positive[op],
rate=round(op_positive[op] / total, 3),
)
for op, total in op_total.items()
],
key=lambda x: x.rate,
reverse=True,
)
# keyword signals from accepted-suggestion text in outcome-labeled submissions
kw_pos: Counter[str] = Counter()
kw_neg: Counter[str] = Counter()
for sub, outcome in labeled_known:
bucket = kw_pos if outcome == "positive" else kw_neg
for sug in sub.suggestions:
if sug.accepted is not True:
continue
for t in _tokens(sug.proposed_text) + _tokens(sug.rationale):
bucket[t] += 1
all_kws = set(kw_pos) | set(kw_neg)
signals = [
KeywordSignal(
keyword=kw,
positive_count=kw_pos[kw],
negative_count=kw_neg[kw],
lift=round(kw_pos[kw] / max(kw_neg[kw], 1), 2),
)
for kw in all_kws
if kw_pos[kw] + kw_neg[kw] >= 2 # minimum support
]
top_pos_kw = sorted(
[s for s in signals if s.positive_count > 0],
key=lambda s: (s.lift, s.positive_count),
reverse=True,
)[:8]
top_neg_kw = sorted(
[s for s in signals if s.negative_count > 0],
key=lambda s: (s.negative_count, -s.lift),
reverse=True,
)[:8]
# section impact: group target_path prefix by outcome
sec_pos: Counter[str] = Counter()
sec_total: Counter[str] = Counter()
for sub, outcome in labeled_known:
for sug in sub.suggestions:
if sug.accepted is not True:
continue
sec = _section_prefix(sug.target_path)
sec_total[sec] += 1
if outcome == "positive":
sec_pos[sec] += 1
section_impact = sorted(
[
SectionImpact(
section=sec,
positive_rate=round(sec_pos[sec] / total, 3),
count=total,
)
for sec, total in sec_total.items()
],
key=lambda s: s.positive_rate,
reverse=True,
)
return InsightsResult(
total_submissions=len(submissions),
positive_count=positive_count,
positive_rate=round(positive_count / len(submissions), 3) if submissions else 0.0,
operation_impact=op_impact,
top_positive_keywords=top_pos_kw,
top_negative_keywords=top_neg_kw,
section_impact=section_impact,
has_data=bool(labeled_known),
)

View File

@@ -13,14 +13,9 @@ def validate_patchset(
document: StructuredDocument,
patches: Iterable[PatchPayload],
*,
max_changes: int = 12,
max_growth_ratio: float = 1.45,
) -> None:
patch_list = list(patches)
if len(patch_list) > max_changes:
raise PatchValidationError(
f"Patchset exceeds max changes ({len(patch_list)} > {max_changes})"
)
block_map = {block.path: block for block in document.blocks}
for patch in patch_list:
block = block_map.get(patch.target_path)

87
scripts/gen_demo_cv.py Normal file
View File

@@ -0,0 +1,87 @@
"""Generate the static demo CV DOCX used by DEMO mode in the webapp."""
from __future__ import annotations
import sys
from pathlib import Path
from docx import Document
from docx.shared import Pt, RGBColor
from docx.enum.text import WD_ALIGN_PARAGRAPH
def add_heading(doc: Document, text: str, level: int = 1) -> None:
p = doc.add_heading(text, level=level)
p.alignment = WD_ALIGN_PARAGRAPH.LEFT
def add_bullet(doc: Document, text: str) -> None:
doc.add_paragraph(text, style="List Bullet")
def build(path: Path) -> None:
doc = Document()
# Name / contact
name_para = doc.add_paragraph()
name_para.alignment = WD_ALIGN_PARAGRAPH.CENTER
run = name_para.add_run("Alex Rivera")
run.bold = True
run.font.size = Pt(18)
contact = doc.add_paragraph()
contact.alignment = WD_ALIGN_PARAGRAPH.CENTER
contact.add_run("alex.rivera@email.com · linkedin.com/in/alexrivera · github.com/alexrivera")
doc.add_paragraph() # spacer
# Summary
add_heading(doc, "Summary", level=2)
doc.add_paragraph(
"Software engineer with 5 years of experience building distributed systems and "
"machine learning pipelines at scale. Strong background in Python, Go, and cloud-native "
"architectures. Passionate about developer tooling and open-source contribution."
)
# Experience
add_heading(doc, "Experience", level=2)
add_heading(doc, "Senior Software Engineer — Acme Corp", level=3)
doc.add_paragraph("Jan 2022 Present · San Francisco, CA")
add_bullet(doc, "Led migration of monolithic data pipeline to distributed microservices, reducing p99 latency by 40%.")
add_bullet(doc, "Designed and shipped an internal feature flag system used by 50+ engineers across 3 teams.")
add_bullet(doc, "Mentored 4 junior engineers and ran weekly technical design review sessions.")
add_heading(doc, "Software Engineer — DataFlow Inc", level=3)
doc.add_paragraph("Aug 2019 Dec 2021 · Remote")
add_bullet(doc, "Built real-time streaming ingestion system processing 2M events/day using Kafka and Flink.")
add_bullet(doc, "Developed Python SDK for internal data platform, adopted by 8 product teams.")
add_bullet(doc, "Contributed PyTorch-based anomaly detection model achieving 92% precision on production traffic.")
# Education
add_heading(doc, "Education", level=2)
add_heading(doc, "B.S. Computer Science — State University", level=3)
doc.add_paragraph("Graduated May 2019 · GPA 3.8 / 4.0")
add_bullet(doc, "Senior thesis: Efficient approximate nearest-neighbour search for high-dimensional embeddings.")
# Skills
add_heading(doc, "Skills", level=2)
skills_para = doc.add_paragraph()
skills_para.add_run("Languages: ").bold = True
skills_para.add_run("Python, Go, TypeScript, SQL")
infra_para = doc.add_paragraph()
infra_para.add_run("Infrastructure: ").bold = True
infra_para.add_run("Kubernetes, AWS, GCP, Terraform, Docker")
ml_para = doc.add_paragraph()
ml_para.add_run("ML / Data: ").bold = True
ml_para.add_run("PyTorch, scikit-learn, Spark, Kafka, dbt")
doc.save(path)
print(f"Saved demo CV to {path}")
if __name__ == "__main__":
out = Path(sys.argv[1]) if len(sys.argv) > 1 else Path("apps/webapp/public/demo-cv.docx")
out.parent.mkdir(parents=True, exist_ok=True)
build(out)

632
uv.lock generated
View File

@@ -2,15 +2,6 @@ version = 1
revision = 3
requires-python = ">=3.12"
[[package]]
name = "absl-py"
version = "2.4.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/64/c7/8de93764ad66968d19329a7e0c147a2bb3c7054c554d4a119111b8f9440f/absl_py-2.4.0.tar.gz", hash = "sha256:8c6af82722b35cf71e0f4d1d47dcaebfff286e27110a99fc359349b247dfb5d4", size = 116543, upload-time = "2026-01-28T10:17:05.322Z" }
wheels = [
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]
[[package]]
name = "alembic"
version = "1.18.4"
@@ -103,6 +94,46 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" },
]
[[package]]
name = "asyncpg"
version = "0.31.0"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/fe/cc/d18065ce2380d80b1bcce927c24a2642efd38918e33fd724bc4bca904877/asyncpg-0.31.0.tar.gz", hash = "sha256:c989386c83940bfbd787180f2b1519415e2d3d6277a70d9d0f0145ac73500735", size = 993667, upload-time = "2025-11-24T23:27:00.812Z" }
wheels = [
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