feat(linkedin): add LinkedIn tab to wizard resume step
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1 changed files with 92 additions and 58 deletions
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@ -15,14 +15,14 @@ sys.path.insert(0, str(Path(__file__).parent.parent.parent))
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import streamlit as st
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import yaml
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from app.cloud_session import resolve_session, get_db_path
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from app.cloud_session import resolve_session, get_db_path, get_config_dir
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resolve_session("peregrine")
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_ROOT = Path(__file__).parent.parent.parent
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CONFIG_DIR = _ROOT / "config"
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CONFIG_DIR = get_config_dir() # per-user dir in cloud; repo config/ locally
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USER_YAML = CONFIG_DIR / "user.yaml"
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STEPS = 6 # mandatory steps
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STEP_LABELS = ["Hardware", "Tier", "Identity", "Resume", "Inference", "Search"]
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STEP_LABELS = ["Hardware", "Tier", "Resume", "Identity", "Inference", "Search"]
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# ── Helpers ────────────────────────────────────────────────────────────────────
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@ -179,6 +179,13 @@ st.divider()
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# ── Step 1: Hardware ───────────────────────────────────────────────────────────
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if step == 1:
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from app.cloud_session import CLOUD_MODE as _CLOUD_MODE
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if _CLOUD_MODE:
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# Cloud deployment: always single-gpu (Heimdall), skip hardware selection
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_save_yaml({"inference_profile": "single-gpu", "wizard_step": 1})
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st.session_state.wizard_step = 2
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st.rerun()
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from app.wizard.step_hardware import validate, PROFILES
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st.subheader("Step 1 \u2014 Hardware Detection")
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@ -212,6 +219,14 @@ if step == 1:
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# ── Step 2: Tier ───────────────────────────────────────────────────────────────
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elif step == 2:
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from app.cloud_session import CLOUD_MODE as _CLOUD_MODE
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if _CLOUD_MODE:
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# Cloud mode: tier already resolved from Heimdall at session init
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cloud_tier = st.session_state.get("cloud_tier", "free")
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_save_yaml({"tier": cloud_tier, "wizard_step": 2})
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st.session_state.wizard_step = 3
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st.rerun()
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from app.wizard.step_tier import validate
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st.subheader("Step 2 \u2014 Choose Your Plan")
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@ -248,63 +263,16 @@ elif step == 2:
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st.rerun()
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# ── Step 3: Identity ───────────────────────────────────────────────────────────
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# ── Step 3: Resume ─────────────────────────────────────────────────────────────
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elif step == 3:
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from app.wizard.step_identity import validate
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st.subheader("Step 3 \u2014 Your Identity")
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st.caption("Used in cover letter PDFs, LLM prompts, and the app header.")
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c1, c2 = st.columns(2)
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name = c1.text_input("Full Name *", saved_yaml.get("name", ""))
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email = c1.text_input("Email *", saved_yaml.get("email", ""))
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phone = c2.text_input("Phone", saved_yaml.get("phone", ""))
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linkedin = c2.text_input("LinkedIn URL", saved_yaml.get("linkedin", ""))
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# Career summary with optional LLM generation
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summary_default = st.session_state.get("_gen_result_career_summary") or saved_yaml.get("career_summary", "")
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summary = st.text_area(
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"Career Summary *", value=summary_default, height=120,
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placeholder="Experienced professional with X years in [field]. Specialise in [skills].",
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help="Injected into cover letter and research prompts as your professional context.",
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)
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gen_result = _generation_widget(
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section="career_summary",
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label="Generate from resume",
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tier=_tier,
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feature_key="llm_career_summary",
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input_data={"resume_text": saved_yaml.get("_raw_resume_text", "")},
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)
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if gen_result and gen_result != summary:
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st.info(f"\u2728 Suggested summary \u2014 paste it above if it looks good:\n\n{gen_result}")
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col_back, col_next = st.columns([1, 4])
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if col_back.button("\u2190 Back", key="ident_back"):
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st.session_state.wizard_step = 2
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st.rerun()
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if col_next.button("Next \u2192", type="primary", key="ident_next"):
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errs = validate({"name": name, "email": email, "career_summary": summary})
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if errs:
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st.error("\n".join(errs))
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else:
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_save_yaml({
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"name": name, "email": email, "phone": phone,
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"linkedin": linkedin, "career_summary": summary,
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"wizard_complete": False, "wizard_step": 3,
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})
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st.session_state.wizard_step = 4
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st.rerun()
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# ── Step 4: Resume ─────────────────────────────────────────────────────────────
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elif step == 4:
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from app.wizard.step_resume import validate
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st.subheader("Step 4 \u2014 Resume")
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st.subheader("Step 3 \u2014 Resume")
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st.caption("Upload your resume for fast parsing, or build it section by section.")
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tab_upload, tab_builder = st.tabs(["\U0001f4ce Upload", "\U0001f4dd Build manually"])
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tab_upload, tab_builder, tab_linkedin = st.tabs([
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"\U0001f4ce Upload", "\U0001f4dd Build manually", "\U0001f517 LinkedIn"
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])
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with tab_upload:
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uploaded = st.file_uploader("Upload PDF, DOCX, or ODT", type=["pdf", "docx", "odt"])
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@ -393,9 +361,19 @@ elif step == 4:
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input_data={"bullet_notes": all_bullets},
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)
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with tab_linkedin:
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# Check for pending LinkedIn import from previous rerun
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_li_data = st.session_state.pop("_linkedin_extracted", None)
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if _li_data:
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st.session_state["_parsed_resume"] = _li_data
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st.rerun() # re-render so tab_builder reads the newly populated _parsed_resume
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from app.components.linkedin_import import render_linkedin_tab
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render_linkedin_tab(config_dir=CONFIG_DIR, tier=_tier)
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col_back, col_next = st.columns([1, 4])
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if col_back.button("\u2190 Back", key="resume_back"):
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st.session_state.wizard_step = 3
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st.session_state.wizard_step = 2
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st.rerun()
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if col_next.button("Next \u2192", type="primary", key="resume_next"):
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parsed = st.session_state.get("_parsed_resume", {})
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@ -407,19 +385,75 @@ elif step == 4:
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if errs:
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st.error("\n".join(errs))
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else:
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resume_yaml_path = _ROOT / "config" / "plain_text_resume.yaml"
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resume_yaml_path = CONFIG_DIR / "plain_text_resume.yaml"
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resume_yaml_path.parent.mkdir(parents=True, exist_ok=True)
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resume_data = {**parsed, "experience": experience} if parsed else {"experience": experience}
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resume_yaml_path.write_text(
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yaml.dump(resume_data, default_flow_style=False, allow_unicode=True)
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)
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_save_yaml({"wizard_step": 4})
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_save_yaml({"wizard_step": 3})
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st.session_state.wizard_step = 4
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st.rerun()
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# ── Step 4: Identity ───────────────────────────────────────────────────────────
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elif step == 4:
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from app.wizard.step_identity import validate
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st.subheader("Step 4 \u2014 Your Identity")
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st.caption("Used in cover letter PDFs, LLM prompts, and the app header.")
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c1, c2 = st.columns(2)
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name = c1.text_input("Full Name *", saved_yaml.get("name", ""))
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email = c1.text_input("Email *", saved_yaml.get("email", ""))
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phone = c2.text_input("Phone", saved_yaml.get("phone", ""))
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linkedin = c2.text_input("LinkedIn URL", saved_yaml.get("linkedin", ""))
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# Career summary with optional LLM generation — resume text available now (step 3 ran first)
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summary_default = st.session_state.get("_gen_result_career_summary") or saved_yaml.get("career_summary", "")
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summary = st.text_area(
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"Career Summary *", value=summary_default, height=120,
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placeholder="Experienced professional with X years in [field]. Specialise in [skills].",
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help="Injected into cover letter and research prompts as your professional context.",
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)
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gen_result = _generation_widget(
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section="career_summary",
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label="Generate from resume",
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tier=_tier,
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feature_key="llm_career_summary",
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input_data={"resume_text": saved_yaml.get("_raw_resume_text", "")},
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)
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if gen_result and gen_result != summary:
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st.info(f"\u2728 Suggested summary \u2014 paste it above if it looks good:\n\n{gen_result}")
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col_back, col_next = st.columns([1, 4])
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if col_back.button("\u2190 Back", key="ident_back"):
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st.session_state.wizard_step = 3
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st.rerun()
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if col_next.button("Next \u2192", type="primary", key="ident_next"):
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errs = validate({"name": name, "email": email, "career_summary": summary})
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if errs:
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st.error("\n".join(errs))
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else:
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_save_yaml({
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"name": name, "email": email, "phone": phone,
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"linkedin": linkedin, "career_summary": summary,
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"wizard_complete": False, "wizard_step": 4,
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})
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st.session_state.wizard_step = 5
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st.rerun()
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# ── Step 5: Inference ──────────────────────────────────────────────────────────
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elif step == 5:
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from app.cloud_session import CLOUD_MODE as _CLOUD_MODE
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if _CLOUD_MODE:
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# Cloud deployment: inference is managed server-side; skip this step
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_save_yaml({"wizard_step": 5})
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st.session_state.wizard_step = 6
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st.rerun()
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from app.wizard.step_inference import validate
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st.subheader("Step 5 \u2014 Inference & API Keys")
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